=Paper= {{Paper |id=Vol-3611/paper10 |storemode=property |title=Detecting applications vulnerabilities using remote procedure calls |pdfUrl=https://ceur-ws.org/Vol-3611/paper10.pdf |volume=Vol-3611 |authors=Lukas Jokubauskas,Jevgenijus Toldinas,Borisas Lozinskis |dblpUrl=https://dblp.org/rec/conf/ivus/JokubauskasTL22 }} ==Detecting applications vulnerabilities using remote procedure calls== https://ceur-ws.org/Vol-3611/paper10.pdf
                         Detecting applications vulnerabilities using remote procedure
                         calls
                         Lukas Jokubauskas 1, Jevgenijus Toldinas 1 and Borisas Lozinskis 1
                         1
                                Kaunas University of Technology, StudenflJ street 50, LT-51368 Kaunas, Lithuania


                                             Abstract
                                             Computer software often comprises multiple components, such as a fi:ontend application and a
                                             backend database, which need to exchange infmmation. Many modem desktop applications
                                             also follow the design of web software and have separate fi:ontend and backend processes. Inter­
                                             process communication mechanisms or third-paity frameworks provided by the operating
                                             system are used for communication between processes. Improperly implemented remote
                                             procedure calls can lead to code vulnerabilities that can be exploited for malicious purposes. In
                                             this paper, we present a novel method for detecting application vulnerabilities using the remote
                                             procedure call approach, namely Detecting Applications Vulnerabilities using Google
                                             Remote Procedure Call (DAVuGRPC) that aims to utilize statically created taint and its
                                             dynamic fuzzification during the execution of the application.

                                              Keywords
                                              Vulnerability detection, dynamic analysis, taint dataset, RPC, gRPC


                          1. Introduction                                                                           The techniques for finding application
                                                                                                                 vulnerabilities are classified into two main
                                                                                                                 categmies: static analysis and dynamic analysis
                                  A softwai·e vulnerability can be defined as a
                                                                                                                 [5]. Static application analysis entails methods for
                         defect, weakness, or simply an enor in an
                                                                                                                 inspecting source code or compiled binaiy
                         application that can be exploited by an attacker to
                                                                                                                 without nmning it. Dynainic analysis is studying
                         change the system’s regular behavior [I]. Because
                                                                                                                 an application while it is running, with the use of
                         the quantity of softwai·e systems and applications
                                                                                                                 a debugger or other techniques, such as [ 1]:
                         is growing, so is the number of vulnerabilities.
                                                                                                                      • Fault injection is a testing approach that
                         There ai·e various application vulnerabilities:
                                                                                                                          inti·oduces problems to an application to
                         injection,     cross-site     sc1ipting,    broken
                                                                                                                          test its behavior. To generate the possible
                         authentication and session management, fmmat
                                                                                                                          faults, some knowledge of the application
                         stiing, insecure direct object reference, and many
                                                                                                                          is required.
                         others [2]. In the softwai·e industiy, vulnerability
                                                                                                                      • Fuzzing testing involves feeding the
                         identification and remediation have been a core
                         and vital operation. Hackers can take advantage of                                               application with random data to see if it
                         undetected flaws and wreak significant damage to                                                 can handle it correctly.
                         people [3]. While program analysis tools exist,                                              • Dynainic taint dming the execution of the
                         they often only discover a small subset of                                                       application, the tainted data is monitored
                         probable enors based on predefined rules. With                                                   to dete1mine its approp1iate validation
                         the widespread availability of open-source                                                       before accessing sensitive functions.
                         repositories, data-driven methodologies for                                                  • Sanitization is a method of avoiding
                         discove1ing vulnerability trends have become                                                     vulnerabilities caused by using user­
                         possible [4].                                                                                    supplied data by implementing newly
                                                                                                                          included functions or custom routines

                         IVUS 2022: 27th International Conference on Information
                         Technology, May 12, 2022, Kaunas, Lithuania



                                          @ 2022 CqJyri,gbt for this paper by its au1taors. Use permitted IIMH
                                          Creative Comm.om License Anribation 4.0 Iutematiom.l (CC BY 4.0).

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             w h os e m ai n o bj e cti v e is t o e v al u at e or         cl assifi e d i nt o t hr e e gr o u ps b as e d o n t h e r ol e:
             s a niti z e a n y i n p ut fr o m us ers b ef or e usi n g    s a m pl e g e n er ati o n t e c h ni q u es, d y n a mi c a n al ysis
             it i nsi d e a n a p pli c ati o n.                            a p pr o a c h es, a n d st ati c a n al ysis t e c h ni q u es [ 1 1].
     M ost of t h e ti m e, c y b er s e c urit y s p e ci alists d o       R a n d o m m ut ati o n, gr a m m ati c al r e pr es e nt ati o n,
n ot h a v e a c c ess t o t h e s o ur c e c o d e of t h e                a n d s c h e d uli n g al g orit h ms ar e t hr e e t y p es of
a p pli c ati o ns t h e y ar e t esti n g. As a r es ult, c y b er         s a m pl e g e n er ati o n a p pr o a c h t h at ar e us e d t o
s e c urit y s p e ci alists ai m t o a ut o m at e s o m e t as ks         c h o os e a n d m ut at e s e e ds as w ell as r estri c t a n d
usi n g d y n a mi c m et h o d ol o gi es. T h e p o w er of t h es e      g e n er at e n e w s a m pl es. T o assist i n t h e g e n er ati o n
str at egi es r esi d es i n t h e f a ct t h at t h e n u m b er of        of t h e n e w s a m pl e, d y n a mi c a n al ysis t e c h ni q u es
f als e p ositi v es is l o w, a n d t h e pr e cisi o n is                 ar e e m pl o y e d t o a c q uir e d y n a mi c i nf or m ati o n o n
e xtr e m el y hi g h [ 6].                                                 t h e r u n ni n g a p pli c ati o n. S y m b oli c e x pr essi o ns,
     T h e m et h o ds off er e d b y o p er ati n g s yst e ms t h at      t h e e x e c ut e d p at h, t ai nt i nf or m ati o n o n t h e
all o w pr o c ess es t o h a n dl e s h ar e d d at a or i nt er a ct      s a m pl e, a n d c o d es ar e all i n cl u d e d i n t his d at a.
ar e r ef err e d t o as i nt er -pr o c ess c o m m u ni c ati o n         C o ntr ol fl o w a n al ysis a n d d at a fl o w sli c es ar e
(I P C) [ 7]. I P C is a s et of m et h o ds f or                           e x a m pl es of st ati c a n al ysis. Alt h o u g h st ati c
c o m m u ni c ati n g wit h t w o pr o c ess es t h a t m a y or           a n al ysis fr e q u e ntl y yi el ds f als e -p ositi v e r es ults, it
m a y n ot b e o n t h e s a m e m a c hi n e. R e m ot e                   c a n b e us e d i n c o nj u n cti o n wit h ot h er m et h o ds t o
pr o c e d ur e c all ( R P C ) m et h o ds ar e wi d el y us e d i n       g et us ef ul pr etr e at m e nt d at a.
s yst e ms b e c a us e t h e y l o w er s yst e m c o m pl e xit y              I n [ 1 2] pr o p os e d a s yst e m t h at c o m bi n es
a n d d e v el o p m e nt c osts. T h e pri m ar y p ur p os e of a n       m a c hi n e l e ar ni n g a n d b a n dit -b as e d o pti mi z ati o n
R P C is t o m a k e r e m ot e pr o c e d ur e c alls                      wit h st at e -of -t h e-art gr e y -b o x f u z zi n g a p pr o a c h es.
tr a ns p ar e nt t o us ers, all o wi n g t h e m t o m a k e              A ut h ors s h o w si g nifi c a n t i m pr o v e m e nts o v er
r e m ot e pr o c e d ur e c alls i n t h e s a m e w a y t h at t h e y    n u m er o us st at e -of -t h e-art gr e y -b o x f uzz ers, s u c h
w o ul d m a k e l o c al pr o c e d ur e c alls [ 9].                      as A F L , Fi d g et y A F L , a n d t h e r e c e ntl y r el e as e d
     I n t his p a p er, w e pr es e nt a n o v el m et h o d f or          F air F uzz . T h o m ps o n S a m pli n g w as us e d t o l e ar n
d et e cti n g a p pli c ati o n v ul n er a biliti es usi n g t h e        a d a pti v e distri b uti o ns o v er m ut ati o n o p er at ors.
r e m ot e pr o c e d ur e c all a p pr o a c h, n a mel y                  T h e first c o n c oli c e x e c uti o n -b as e d s m art f u z zi n g
D et e cti n g A p pli c ati o ns V ul n er a biliti es usi n g             m et h o d f or d et e cti n g h e a p -b as e d b uff er o v erfl o w
G o o gl e R e m ot e Pr o c e d ur e C all ( D A V u G R P C )             i n e x e c ut a bl es w as pr o vi d e d i n [ 1 3]. T h e
t h at ai ms t o utili z e st ati c all y cr e at e d t ai nt a n d its     s u g g est e d f uzz er r u ns t h e bi n ar y pr o gr a m a n d
d y n a mi c us e d uri n g t h e e x e c uti o n of t h e                  d et er mi n es t h e p at h a n d v ul n er a bilit y r estri cti o ns
a p pli c ati o n. F or t h at p ur p os e, w e e m pl o y t h e            f or t h e e x e c ut e d p at h s y m b oli c all y. It c o m bi n es
f u z zifi c ati o n t e c h ni q u e f or t h e t ai nte d d at as et.     t h e c o nstr ai nts t o g e n er at e t est d at a t h at tr a v ers es
     T h e r est of t h e p a p er is or g a ni z e d as f oll o ws.        t h e e x e c uti o n p at h a n d d et e cts a n y fl a ws. T h e
T h e s e c o n d s e cti o n dis c uss es t h e r el at e d w or ks.       f uzz er r e m o v es e a c h p at h c o nstr ai nt o n e at a ti m e
T h e t hir d s e cti o n o v er vi e ws a p pli c ati o n                  a n d s ol v es t h e r es ulti n g c o nstr ai nts t o g e n er at e
pr o gr a m mi n g i nt erf a c es. T h e f o urt h s e cti o n             t est d at a t h at f oll o ws n o v el e x e c uti o n p at hs. T h e
d es cri b es t h e g R P C p a yl o a d. T h e fift h s e cti o n          s u g g est e d a p pr o a c h pr o p a g at es t h e t ai nt e d d at a
pr es e nts t h e pr o p os e d a p pli c ati o n’s v ul n er a biliti es   t hr o u g h dir e ct assi g n m e nt a n d arit h m eti c
d et e cti o n m et h o d usi n g g R P C . T h e e v al u ati o n          o p er ati o ns.
fr a m e w or k a n d e x p eri m e nt al s et u p ar e pr es e nt e d           I n [ 7] a ut h ors pr o p os e d a n e w f u z zi n g s ol uti o n
i n s e cti o n si x. T h e s e v e nt h s e cti o n pr es e nts            t o dis c o v er i nt er-pr o c ess c o m m u ni c ati o n b u gs
e x p eri m e nt al r es ults. T h e l ast s e cti o n c o n cl u d es      wit h o ut s o ur c e c o d e, b y c o m bi ni n g st ati c a n al ysis
t h e p a p er wit h a dis c ussi o n of f ut ur e w or k.                  a n d d y n a mi c a n al ysis. St ati c a n al ysis is us e d t o
                                                                            r e c o g ni z e f or m at c h e c ks a n d h el p c o nstr u ct i nt er-
2. R el at e d w or k                                                       pr o c ess c o m m u ni c ati o n m ess a g es of v ali d
                                                                            f or m ats. D y n a mi c a n al ysis is us e d t o i nf er t h e
                                                                            c o nstr ai nts b et w e e n i nt er -pr o c ess c o m m u ni c ati o n
     F u z zi n g is a p o p ul ar a n d s u c c essf ul m et h o d f or
                                                                            m ess a g es a n d m o d el t h e st at ef ul l o gi c wit h a
d et e cti n g s e c urit y fl a ws i n t h e s oft w ar e w h e n a
                                                                            pr o b a bilit y m atri x. T his l ets t o g e n er at e hi g h -
s yst e m is t est e d b y pr o c essi n g t est c as es g e n er at e d    q u alit y i nt er -pr o c ess c o m m u ni c ati o n m ess a g es t o
b y a n ot h er pr o gr a m i n a c o nti n u o us l o o p.
                                                                            t est s er vi c es a n d dis c o v er d e e p a n d c o m pl e x b u gs.
Si m ult a n e o usl y, t h e s yst e m m o nit or e d f or a n y
                                                                                 I n [ 8] a ut h ors pr es e nt e d t h e first gr e y b o x
err ors t h at m a y h a v e b e e n dis cl os e d as a r es ult of
                                                                            f uzz er f or pr ot o c ol i m pl e m e nt ati o ns. Unli k e t h e
pr o c essi n g t his d at a. F uzzi n g str at e gi es ar e
                                                                            e xisti n g pr ot o c ol f uzz ers, t h e s ol uti o n t a k es a
m ut ati o n al a p pr o a c h a n d us es st at e f e e d b a c k t o        c o m m u ni c ati o ns f or m at w h e n usi n g R E S T A PIs .
g ui d e t h e f u z zi n g pr o c ess. It a cts as a cli e nt a n d          T h e H T T P pr ot o c ol is c o m m o nl y us e d i n t his
r e pl a ys v ari ati o ns of t h e ori gi n al s e q u e n c e of            ar c hit e ct ur al st yl e.
m ess a g es s e nt t o t h e s er v er a n d r et ai ns t h os e                  T h e a cr o n y m g R P C [ 2 0] st a n ds f or G o o gl e
v ari ati o ns t h at w er e eff e cti v e at i n cr e asi n g t h e          R e m ot e Pr o c e d ur e C all, a n d it is a n R P C -b as e d
c o v er a g e of t h e c o d e or st at e s p a c e. A si g nifi c a nt      v ari ati o n. T his t e c h n ol o g y is b as e d o n a n H T T P
p erf or m a n c e b o ost w as d e m o nstr at e d o v er t h e              2. 0 R P C A PI i m pl e m e nt ati o n, b ut H T T P is n ot
st at e-of -t h e-art.                                                        pr es e nt e d t o t h e A PI d e v el o p er or t h e s er v er. As a
      A n ot h er si mil ar s ol uti o n [ 1 1] w as s u g g est e d t o      r es ult, t h er e's n o n e e d t o w orr y a b o ut h o w R P C
p erf or m a st at ef ul c o m m u ni c ati o n pr ot o c ol                  pri n ci pl es ar e m a p p e d t o H T T P , w hi c h si m plifi es
f u z zi n g. T h e a p pr o a c h c o nt ai ns a st at e s wit c hi n g      t hi n gs. T h e g o al of g R P C is t o s p e e d u p d at a
e n gi n e wit h a m ulti -st at e f or k s er v er t o                       tr a ns missi o n b et w e e n mi cr o s er vi c es . It is b as e d
c o nsist e ntl y a n d fl e xi bl y f u z z diff er e nt st at es of a       o n t h e c o n c e pt of s el e cti n g a s er vi c e, t h e n
c o m pil er -i nstr u m e nt e d pr ot o c ol pr o gr a m. T h e             est a blis hi n g m et h o ds a n d p ar a m et ers t o all o w f or
s ol uti o n w as i m pl e m e nt e d b y usi n g a st at e-of -t h e-        r e m ot e c alli n g a n d r et ur n t y p es. It als o d es cri b es
art gr e y -b o x A F L f uzz er. E x p eri m e nt al r es ults               t h e R P C A PI p ar a di g m i n a n i nt erf a c e d es cri pti o n
s h o w e d t h at t h e s ol uti o n a c hi e v e d t w o ti m es m or e     l a n g u a g e (I D L), w hi c h m a k es d et er mi ni n g r e m ot e
u ni q u e cr as h es w h e n c o m p ar e d t o o nl y f u z zi n g          o p er ati o ns e asi er. Pr ot o c ol B uff ers ( Pr ot o b uf ) ar e
t h e first             p a c k et     d uri n g t h e         pr ot o c ol   us e d b y d ef a ult i n t h e I D L t o d es cri b e t h e s er vi c e
c o m m u ni c ati o n.                                                       i nt erf a c e as w ell as t h e str u ct ur e of p a yl o a d
      I nt er-Pr o c ess C o m m u ni c ati o n ( I P C) r ef ers t o a       m ess a g es. g R P C c a n h a n dl e f o ur t y p es of
v ari et y of a p pr o a c h es f or o n e -w a y or t w o -w a y             i nt er a cti o ns:
d at a tr a ns missi o n b et w e e n t hr e a ds i n o n e or m or e                • U n ar y – w h e n t h e cli e nt m a k es a si n gl e
pr o c ess es t h at c a n r u n o n a si n gl e c o m p ut er or                           r e q u est a n d g ets a si n gl e a ns w er.
m ulti pl e c o m p ut ers c o n n e ct e d b y a n et w or k [ 1 4],                • S er v er str e a mi n g – i n r es p o ns e t o a
[ 1 5]. M ess a g e p assi n g, s y n c hr o ni z ati o n, s h ar e d                       cli e nt's r e q u est, t h e s er v er s e n ds a str e a m
m e m or y, a n d r e m ot e pr o c e d ur e c alls ( R P C ) ar e                          of m ess a g es. W h e n all of t h e d at a h as
s o m e of t h e I P C a p pr o a c h es t h at c a n b e di vi d e d                       b e e n tr a ns mitt e d, t h e s er v er s e n ds a st at us
i nt o gr o u ps b as e d o n h o w t h e y c o m m u ni c at e                             m ess a g e t o c o n cl u d e t h e o p er ati o n.
s h ar e d m e m or y a n d m ess a g e p assi n g [ 1 6]. T h e                     • Cli e nt str e a mi n g – t h e cli e nt d eli v ers a
a ut h ors i n [ 1 7] i ntr o d u c e d dir e ct I P C (d I P C) t o                        str e a m of m ess a g e s t o t h e s er v er, w hi c h
m arr y t h e is ol ati o n of pr o c ess es wit h t h e                                    r es p o n ds wit h a si n gl e m ess a g e.
p erf or m a n c e of s y n c hr o n o us f u n cti o n c alls                       • Bi dir e cti o n al str e a mi n g – t h e cli e nt a n d
b e c a us e I P C i m p os es o v er h e a ds o n a v ari et y of                          s er v er str e a ms ar e a ut o n o m o us, w hi c h
diff er e nt e n vir o n m e nts. T hr e a ds i n o n e pr o c ess                          m e a ns t h e y c a n s e n d m ess a g es i n a n y
c a n c all a f u n cti o n o n a n ot h er pr o c ess, off eri n g t h e                   s e q u e n c e. Bi dir e cti o n al str e a mi n g is
s a m e p erf or m a n c e as if t h e t w o pr o c ess es w er e a                         st art e d a n d st o p p e d b y t h e cli e nt.
si n gl e c o m p osit e a p pli c ati o n, b ut                 wit h o ut        g R P C is a gr e at c h oi c e f or m ulti-l a n g u a g e
j e o p ar di zi n g t h eir is ol ati o n.                                   s yst e ms, r e al -ti m e str e a mi n g, a n d I o T s yst e ms
                                                                              t h at r e q uir e li g ht-w ei g ht m ess a g e tr a nsf er, s u c h as
3. A p pli c ati o n pr o gr a m mi n g                                       s eri ali z e d Pr ot o b uf m ess a g es. F urt h er m or e, g R P C
                                                                              s h o ul d b e c o nsi d er e d f or m o bil e a p ps b e c a us e it
   i nt erf a c e s                                                           d o es n ot r e q uir e t h e us e of a br o ws er a n d c a n
                                                                              pr ofit fr o m f e w er m ess a g es, pr es er vi n g t h e s p e e d
     A p pli c ati o n Pr o gr a m mi n g I nt erf a c es ( A PIs )           of m o bil e pr o c ess ors [ 1 9].
ar e s oft w ar e i nt er m e di ari es t h at d efi n e c ert ai n
r ul es a n d d et er mi n ati o ns f or a p pli c ati o ns t o
i nt er a ct a n d c o m m u ni c at e wit h o n e a n ot h er. A n           4. g R P C p a yl o a d d at a str u ct ur e
A PI is i n c h ar g e of d eli v eri n g a us er's r es p o ns e t o
a s yst e m, w hi c h is t h e n r et ur n e d t o t h e us er b y t h e           B y d ef a ult, g R P C s eri ali z es p a yl o a d d a t a usi n g
s yst e m. R e pr es e nt ati o n al St at e Tr a nsf er (R E S T ),          Pr ot o b uf . Pr ot o c ol b uff ers ar e a l a n g u a g e-
R P C , a n d q u er y l a n g u a g e f or A PIs (Gr a p h Q L ) ar e        i n d e p e n d e nt, pl atf or m-i n d e p e n d e nt, a n d fl e xi bl e
t h e t hr e e b asi c m o d els f or cr e ati n g A PIs [ 1 8]. T h e        fr a m e w or k f or s eri ali zi n g str u ct ur e d d at a i n a
r es p o ns e fr o m t h e b a c k-e n d d at a is d eli v er e d t o         f or w ar d a n d b a c k w ar d c o m p ati bl e m a n n er. It's
t h e cli e nts ( or us ers) t hr o u g h t h e J S O N or X M L              si mil ar t o J S O N b ut s m all er a n d f ast er, pl us it
cr e at es n ati v e l a n g u a g e bi n di n gs. Pr ot o c ol b uff ers   alt eri n g t h e v al u es i n t h e m ess a g e usi n g f u z z y
ar e m a d e u p of t h e d efi niti o n l a n g u a g e (i n . pr ot o     l o gi c.
fil es), t h e c o d e g e n er at e d b y t h e pr ot o c o m pil er t o
i nt er a ct wit h d at a, l a n g u a g e-s p e cifi c r u nti m e
li br ari es, a n d t h e s eri ali z ati o n f or m at f or d at a
writt e n t o a fil e ( or s e n t a cr oss a n et w or k
c o n n e cti o n) [ 2 1].
     Pr ot o c ol b uff er m ess a g es a n d s er vi c es ar e
d es cri b e d b y e n gi n e er -a ut h or e d . pr ot o fil es . Y o u
c a n d efi n e w h et h er a fi el d is o pti o n al, r e p e at e d
(pr ot o 2 a n d pr ot o 3 ), or si n gl e w h e n d efi ni n g
. pr ot o fil es (pr ot o 3 ). S etti n g a fi el d t o r e q uir e d is
n ot a n o pti o n i n pr ot o 3, a n d it is str o n gl y
dis c o ur a g e d i n pr ot o 2 [ 2 2].

5. D et e cti n g a p pli c a ti o n                                        Fi g ur e 2 : A g e n er al fr a m e w or k f or d et e cti n g
                                                                            a p pli c ati o n v ul n er a biliti es usi n g g R P C
   v ul n er a biliti es usi n g g R P C
                                                                                 T h e r a n g e of s u bstit ut e d v al u es f or n u m eri c
     T h e st a g es of pr o c essi n g a n d i nt er pr eti n g            fi el ds is di vi d e d i nt o v al u e t y p es a n d r a n g es (s e e
n et w or k tr affi c p a c k ets ar e d e pi ct e d i n Fi g ur e 1 . A    T a bl e 1 ).
g e n er al fr a m e w or k f or d et e cti n g a p pli c ati o n
v ul n er a biliti es usi n g g R P C is s h o w n i n Fi g ur e 2 .        T a bl e 1
T h er e ar e t w o b asi c m ess a gi n g str at e gi es:                  T h e r a n g e of s u bstit ut e d v al u es f or n u m eri c fi el ds
c h a n gi n g t h e v al u es of o n e fi el d or all fi el ds i n o n e
                                                                                  V al u e                        V al u e r a n g e
l o o p. T h er e is als o t h e sit u ati o n w h er e a m ess a g e
                                                                                   ty pe          T h e s m all est              T h e l ar g est
fi el d's v al u e is fi x e d a n d c a n n ot b e m o difi e d.
                                                                                                 p ossi bl e v al u e         p ossi bl e v al u e
                                                                                   b o ol                  0                             1
                                                                                  stri n g        mi n l e n gt h =         m a x l e n gt h = 2 3 2
                                                                                                         n ull
                                                                                  i nt 3 2,       -2 1 4 7 4 8 3 6 4 8         2147483647
                                                                                 si nt3 2,
                                                                               sfi x e d3 2
                                                                                ui nt 3 2,                 0                   4294967295
                                                                                fi x e d 3 2
                                                                                  i nt 6 4,          -9 2 2 3 3 7 2               92233720
                                                                                 si nt 6 4,     036854775808                  36854775807
                                                                               sfi x e d 6 4
                                                                                ui nt 6 4,                 0                    184467440
                                                                                fi x e d 6 4                                  73709551615
                                                                                   fl o at      1. 1 7 5 4 9 4 3 5 1 E 3. 4 0 2 8 2 3 4 6 6 E +
Fi g ur e 1 : T h e st a g es of pr o c essi n g                   and
                                                                                                         -38                            38
i nt er pr eti n g n et w or k tr affi c p a c k ets
                                                                                d o u bl e           2. 2 2 5 0 7 3                1. 7 9 7 6 9
     B ot h pr e c e di n g s ol uti o ns c a n b e us e d i n t his                             8585072014 E                31348623158 E
s c e n ari o, b ut o nl y if t h e r e q uir e d fi el ds ar e l eft                                   -308                         + 308
i nt a ct (s e e Fi g ur e 2 ). I n t h e s etti n gs, y o u c a n
d efi n e t h e m ess a gi n g t e c h ni q u e y o u w a nt t o                 T h e m et h o d f or d et e cti n g v ul n er a biliti es i n
e m pl o y.                                                                 a p pli c ati o ns usi n g g R P C st arts wit h s c a n ni n g t h e
     T h e pr e mis e r e m ai ns t h e s a m e f or b ot h c h a n g e     i niti al r e m ot e pr o c e d ur e m ess a g es (s e e Fi g ur e 3 ).
t e c h ni q u es w h e n it c o m es t o fi el ds m o difi c ati o ns.     T h e p r o p os e d m et h o d will a c c e pt d at a t h at c a n b e
T h e n u m eri c m ess a g e fi el ds ar e m o difi e d b y                r etri e v e d usi n g t h e T c p d u m p or Wir es h ar k
                                                                            n et w or k p a c k et a n al y z er fr o m . p c a p or . p c a p n g
                                                                            fil es. T h e pr o p os e d m et h o d a c c e pt s Pr ot o b uf fil es
. pr ot o, w hi c h ar e us e d t o filt er o ut u n n e c ess ar y          a n d t h e a p pli c ati o n u n d er t est ar e b ot h st art e d. T h e
m ess a g es a n d s e n d m ess a g es t o t h e a p pli c ati o n          g R P C m ess a g e cr e at or usi n g f uzz y l o gi c c h a n g es
u n d er t est. B e c a us e pr ot o b uf m ess a g es ar e utili z e d      t h e v al u es of t h e m ess a g e d at a a c c or di n gl y t o t h e
i n t h e g R P C r e m ot e pr o c e d ur e c all fr a m e w or k,          t y p es a n d p ossi bl e v al u es gi v e n i n T a bl e 1 .
w hi c h is b as e d o n t h e H T T P/ 2 pr ot o c ol [ 2 3],
pr ot o b uf m ess a g es m ust b e r e q u est e d i n all
H T T P/ 2 pr ot o c ol r e q u ests. Aft er r e vi e wi n g t h e
c o nt e nts of t h e H T T P/ 2 r e q u est, it is d et er mi n e d
w h et h er t his m ess a g e is i nt e n d e d f or at l e ast o n e
of t h e s er vi c es d es cri b e d i n t h e . pr ot o fil es of t h e
t est e d s oft w ar e. T h e d at a is s a v e d if t h e m ess a g e
h as a s er vi c e m at c h. If n o m at c h is d et e ct e d, t h e
al g orit h m r e p e ats t h e pr o c ess wit h a n e w H T T P/ 2
r e q u est. Pr ot o b uf m ess a g es i n bi n ar y f or m at ar e
e xtr a ct e d fr o m t h es e q u eri es, w hi c h w er e
c o nstr u ct e d usi n g t h e pr ot o c ol b uff er's i nt e rf a c e
d es cri pti o n l a n g u a g e [ 2 2].




                                                                             Fi g ur e 4 : T h e pr o c ess of pr o p os e d m et h o d f or
                                                                             d et e cti n g a p pli c ati o n v ul n er a biliti es usi n g g R P C

                                                                                  T h e m ess a g e wit h t h e hi g h est e x p e ct e d
                                                                             n u m b er of m ess a g e c h a n g e c y cl es is c h os e n i n t h e
                                                                             first it er ati o n a n d c h a n g e d v al u es of t h e m ess a g e
                                                                             d at a ar e c o nstr u ct e d b as e d o n it. T h e m ess a g es ar e
                                                                             cr e at e d i n s u bs e q u e nt c y cl es d e p e n di n g o n t h e
                                                                             e x e c uti o n pr o gr ess a n d t h e t est e d a p pli c ati o n
                                                                             r e pli es t o t h e g R P C s e nt m ess a g es. T h e r e c ei v e d
Fi g ur e 3 : P a c k et s c a n ni n g pr o c ess f or e xtr a cti n g      r es p o ns e is s e nt f or f urt h er a n aly sis. T h e
r e m ot e pr o c e d ur e m ess a g es                                      a p pli c ati o n is b ei n g t est e d if it is still r u n ni n g or if
                                                                             n o r e pl y is r e c ei v e d. V erifi c ati o n of t h e t est e d
     Aft er all r e m ot e pr o c e d ur e c alls, m ess a g e               a p pli c ati o n pr o gr ess is s e nt t o t h e r e p ort
str u ct ur es, a n d d at a t y p es ar e s a v e d t o t h e               g e n er ati n g pr o c e d ur e. A n e w t est it er ati o n is
d at a b as e, t h e pr o c ess of d et e cti n g a p pli c ati o n          st art e d aft er t h e g R P C m ess a g e g e n er ati n g
v ul n er a biliti es usi n g g R P C st arts. T h e pr o c ess of           pr o c ess r e c ei v es t h e e x e c uti o n st at us a n d r es p o ns e
t h e pr o p os e d m et h o d is d e pi ct e d i n Fi g ur e 4 .            d at a fr o m t h e a p pli c ati o n u n d er t est. T h e
St arti n g v ul n er a bilit y d et e cti o n, . pr ot o fil e,             a p pli c ati o n a cti vit y m o nit ori n g pr o c ess d et e cts t h e
m ess a g es str u ct ur e, a n d d at a t y p es u pl o a d e d fr o m      t est e d a p pli c ati o n f a ult ( n o r es p o ns e) t h e cr as h
t h e d at a b as e. T h e e x e c uti o n m o nit ori n g pr o c e d ur e
r e p ort pr o c ess c oll e cts all r el e v a nt f a ult d at a a n d          T h e us er c a n s e e t h e t er mi n al i nt erf a c e aft er
s a v es t h e a p pli c ati o n cr a s h r e p ort.                        c o nfi g uri n g a n d r u n ni n g t h e D A V u G R P C t o ol,
                                                                            w hi c h dis pl a ys t hr e e m ai n bl o c ks: i nf or m ati o n o n
6. E v al u ati o n      fr a m e w or k                         and        t h e ti m e a n d d ur ati o n of t h e t est pr o c ess, t h e
                                                                            o v er a ll r es ults of t he t est pr o c ess , a n d t h e c urr e nt
   e x p eri m e nt al s et u p                                             pr o gr es s of t h e t est pr o c ess .

     A g e n er al fr a m e w or k f or e v al u ati o n of t h e
pr o p os e d m et h o d f or d et e cti n g a p pli c ati o n
v ul n er a biliti es usi n g g R P C is d e pi ct e d i n Fi g ur e
5.




                                                                            Fi g ur e 6 : T h e str u ct ur e of D A V u G R P C t o ol


Fi g ur e 5 : A g e n er al fr a m e w or k f or e v al u ati o n of        7. E x p eri m e nt al r es ults
t h e pr o p os e d m et h o d
                                                                                 O ur e x p eri m e nts ar e p erf or m e d usi n g A M D
      T h e Fri d a d y n a mi c a n al ysis li br ar y is us e d t o       R y z e n 5 2 6 0 0 pr o c ess or wit h si x p h ysi c al a n d
tr a c k t h e a p pli c ati o n u n d er t est e x e c uti o n. T o us e   t w el v e l o gi c al c or es @ 3. 4 0 G H z; 1 6 G B R A M;
t h e li br ar y pr o gr a m mi n g i nt erf a c e i n t h e G o            Wi n d o ws 1 0 Pr o 6 4 bits O S.
pr o gr a m mi n g l a n g u a g e, w e us e t h e fri d a -g o                  F or t h e e x p eri m e nt al i n v esti g ati o n, a t esti n g
li br ar y, w hi c h all o ws us t o us e t h e Fri d a li br ar y's        pl atf or m w as cr e at e d wit h a p pli c ati o ns writt e n i n
n e e d e d f u n cti o ns. T h e Fri d a li br ar y i ns erts              t h e C + + t h at us es g R P C . T h er e h a v e b e e n t w e nt y-
a d diti o n al c o d e d uri n g e x e c uti o n t h at p er mits          t hr e e r e m ot e pr o c e d ur es i m pl e m e nt e d: t e n
J a v a S cri pt t o b e p erf or m e d aft er e n a bli n g t h e          pr o c e d ur es ( Pr o c 0 – Pr o c 9) h a v e v ari o us t y p es of
a p pli c ati o n u n d er t est e x e c uti o n. T h es e s cri pts        b uff er o v erfl o w a n d n ull -p oi nt er d er ef er e n c e
h a v e f ull a c c ess t o t h e a p pli c ati o n u n d er t est          v ul n er a biliti es a n d t hirt e e n            wit h o ut a n y
m e m or y a n d c a n als o c h a n g e h o w f u n cti o ns ar e          v ul n er a bilit y. T h e pr o p os e d            m et h o d    w as
e x e c ut e d.                                                             c o m p ar e d wit h t h e pr ot o -f uzz er a n d Wi n A F L wit h
      W h e n a m et h o d i n t h e a p pli c ati o n u n d er t est is    li b pr ot o b uf-m ut at or li br ar y s ol uti o ns (T a bl e 2 ).
c all e d i n t h e D A V u G R P C t o ol, t h e s cri pt b e gi ns t o
c a pt ur e bl o c ks of e x e c ut e d m et h o d i nstr u cti o ns.       T a bl e 2
T h e Fri d a Li br ar y's I nt er c e pt or a n d St al k er               C o m p aris o n of t h e D A V u G R P C t o ol
d e v el o p m e nt A PI w er e us e d t o d o t his. T h e                                      R es ults ( N o. of s e nt m ess a g es /
c o m pl et e d i nstr u cti o n bl o c ks ar e tr a ns mitt e d t o           Pr o c e d ur            D et e cti o n ti m e i n s e c)
t h e D A V u G R P C t o ol at t h e e n d of t h e a p pli c ati o n              es         D AVu GRPC            pr ot o -      Wi n A F L
u n d er t h e t est m et h o d. I n a d diti o n t o t his
                                                                                                                      f uzz er
i nf or m ati o n, t h e a p pli c ati o n of t h e u n d er t est
m et h o d's e x e c uti o n ti m e is r e c or d e d. D at a fr o m             Pr o c 0            5/ 5              1 0/ 2     6 6 5 0 0 0/ -
t h e a p pli c ati o n u n d er t h e t est is s e nt usi n g t h e             Pr o c 1            4/ 6               3/ 2       3 7 3 7/ 2 8
Fri d a li br ar y's P 2 P D b us c o m m u ni c ati o n                         Pr o c 2            2/ 4               7/ 3        1 3 5 7/ 5
c h a n n el, w hi c h all o ws d at a t o b e e x c h a n g e d                 Pr o c 3            3/ 5               8/ 2       5 0 4 3/ 7 8
b et w e e n t h e D A V u G R P C t o ol a n d t h e a p pli c ati o n          Pr o c 4            5/ 4               4/ 2       4 9 8 3/ 1 1
u n d er t h e t est s cri pt c o d e. T his P 2 P D b us c h a n n el           Pr o c 5            6/ 5              1 0/ 2     6 4 9 0 0 0/ -
is als o us e d w h e n J a v a S cri pt s cri pti n g m et h o ds               Pr o c 6            7/ 5               2/ 2         9 6 2/ 3
ar e i n v o k e d. T h e str u ct ur e of D A V u G R P C t o ol is             Pr o c 7            7/ 5              3 4/ 3     1 0 9 0 0/ 6 7
r e pr es e nt e d i n Fi g ur e 6 .                                             Pr o c 8           1 6/ 6               -/-            -/-
                                                                                 Pr o c 9             -/-                -/-            -/-
     B as e d o n t h e r es ults w e c a n e v al u at e t h at t h e         9. R ef er e n c es
pr o p os e d m et h o d d et e cts st a c k -b as e d, h e a p -
b as e d, a n d n ull -p oi nt er d er ef er e n c e v ul n er a biliti es
                                                                               [ 1] W. Ji m e n e z , A. M a m m ar a n d A. C a v alli,
i n t h e s h ort ti m e s e n di n g a s m all n u m b er of g R P C
                                                                                    “ S oft w ar e V ul n er a biliti es, Pr e v e nti o n a n d
m ess a g es.
                                                                                    D et e cti o n M et h o ds: A R e vi e w ”, J ul y 2 0 1 0.
                                                                                    P e n T est          M a g a zi n e       [ O nli n e].         URL :
8. C o n cl usi o n                                                                 htt p:// w w w -l or.i nt-e vr y.fr/ ~ a n n a/fil es/s e c -
                                                                                    m d a 0 9. p df
     T h e g o al of g R P C is t o s p e e d u p d at a                       [ 2] S. G ar g, R. K. Si n g h a n d A. K. M o h a p atr a
tr a ns missi o n b et w e e n mi cr o s er vi c es . It als o                      “ A n al ysis          of       s oft w ar e         v ul n er a bilit y
d es cri b es t h e R P C A PI p ar a di g m i n a n i nt erf a c e                 cl assifi c ati o n b as e d o n diff er e nt t e c h ni c al
d es cri pti o n l a n g u a g e ( I D L), w hi c h                 m a k es        p ar a m et ers ” 2 0 1 9. I nf or m ati o n S e c urit y
d et er mi ni n g r e m ot e o p er ati o ns e asi er. T h e m ai n                 J o ur n al: A Gl o b al P ers p e cti v e, 2 8: 1 -2, p p. 1 -
r es ults of t his p a p er ar e as f oll o ws:                                     1 9. d oi: 1 0. 1 0 8 0/ 1 9 3 9 3 5 5 5. 2 0 1 9. 1 6 2 8 3 2 5
      • g R P C c o ul d b e s u c c essf ull y us e d i n                     [ 3] J. F a n, Yi. Li, S. W a n g, a n d T. N. N g u y e n.
             a p pli c ati o ns v ul n er a biliti es d et e cti o n.               “ A C/ C + + C o d e V ul n er a bilit y D at as et wit h
      • D y n a mi c a p pli c ati o n t esti n g o ut p erf or ms                  C o d e C h a n g es a n d C V E S u m m ari es ” 2 0 2 0.
             st ati c m et h o ds b e c a us e of a l o w n u m b er                Pr o c e e di n gs of t h e 1 7t h I nt er n ati o n al
             of f als e p ositi v es a n d e xtr e m el y hi g h                    C o nf er e n c e         on            Mi ni n g         S oft w ar e
             pr e cisi o n.                                                         R e p osit ori es. Ass o ci ati o n f or C o m p uti n g
      • F u z zi n g is t h e m ost a c c e pt a bl e m et h o d                    M a c hi n er y, N e w Y or k, N Y, U S A, p p. 5 0 8 –
             si n c e it is t h e m ost u ni v ers al a n d                         5 1 2. d oi: 1 0. 1 1 4 5/ 3 3 7 9 5 9 7. 3 3 8 7 5 0 1
             c o m bi n es t h e b e st si d es of st ati c a n d              [ 4] R. L. R uss ell, L. Y. Ki m, L. H. H a milt o n, T.
             d y n a mi c t esti n g .                                              L a z o vi c h, J. A. H ar er, O. O z d e mir, P. M.
      • T o i n cr e as e effi ci e n c y, t h e m et h o d us es                   Elli n g w o o d a n d               M.        W.       M c C o nl e y.
             c o d e -c o v er a g e f e e d b a c k t o pri oriti z e              “ A ut o m at e d V ul n er a bilit y D et e cti o n i n
             c o m pl e x r e m ot e pr o c e d ur e m ess a g es.                  S o ur c e C o d e Usi n g D e e p R e pr es e nt ati o n
             T his is a c hi e v e d b y usi n g Fri d a d y n a mi c               L e ar ni n g. ” 2 0 1 8. 1 7t h I E E E I nt er n ati o n al
             a n al ysis li br ar y.                                                C o nf er e n c e o n           M a c hi n e L e ar ni n g a n d
      • Pr o p os e d a p pli c ati o ns v ul n er a biliti es                      A p pli c ati o ns (I C M L A’ 2 0 1 8) p p. 7 5 7-7 6 2.
             m et h o d u si n g r e m ot e pr o c e d ur e c alls a n d            d oi: 1 0. 1 1 0 9/I C M L A. 2 0 1 8. 0 0 1 2 0
             r e ali z e d D A V u G R P C             t o ol      s h o ws    [ 5] J. F ell, “ A R e vi e w of F u z zi n g T o ols a n d
             a c c e pt a bl e r es ults f or st a c k -b as e d, h e a p -         M et h o ds ”,        M ar c h 1 0, 2 0 1 7. P e n T est
             b as e d b uff er o v erfl o w a n d n ull -p oi nt er                 M a g a zi n e                [ O nli n e].                     URL :
             d er ef er e n c e v ul n er a biliti es wit h t h e s h ort           htt ps:// w c v e nt ur e. git h u b.i o/ F u z zi n g P a p er/ P a
             ti m e w h er e as t h e s m all n u m b er of g R P C                 p er/ 2 0 1 7 _r e vi e w. p df
             m ess a g es h as b e e n s e nt.                                 [ 6] O. Z a a z a a a n d H. E l B a k k ali, " D y n a mi c
                                                                                    v ul n er a bilit y d et e cti o n a p pr o a c h es a n d t o ols:
      • T h e pr o p os e d m et h o d f o u n d 1 1 o ut of 1 2
                                                                                    St at e of t h e Art," 2 0 2 0 F o urt h I nt er n ati o n al
             v ul n er a biliti es. T h e m et h o d h as l o w er
                                                                                    C o nf er e n c e O n I nt elli g e nt C o m p uti n g i n
             p erf or m a n c e t h a n t h e pr ot o -f uzz er
                                                                                    D at a S ci e n c es (I C D S), 2 0 2 0, p p. 1 -6.
             s ol uti o n; h o w e v er , it s e n ds f e w er
                                                                                    d oi: 1 0. 1 1 0 9/I C D S 5 0 5 6 8. 2 0 2 0. 9 2 6 8 6 8 6
             m ess a g es o v er t h e t esti n g pr o c ess .
                                                                               [ 7] K. Y a n g, H. Z h a o, C. Z h a n g, J. Z h u g e a n d H.
     F ut ur e w or k will b e as f oll o ws:
                                                                                    D u a n, " F u z zi n g I P C wit h K n o wl e d g e
      • A d d n est e d m ess a g es v al u e f u z zi n g.
                                                                                    I nf er e n c e," 2 0 1 9 3 8t h S y m p osi u m o n
      • I m pl e m e nt c o m pl e x f u z zifi c ati o n l o gi c                  R eli a bl e Distri b ut e d S ys t e ms ( S R D S), 2 0 1 9,
             wit h r e c o g niti o n d e p e n d e n ci es b et w e e n            1 1 -1 1 0 9.
             t h e s a m e v al u es i n t h e m ess a g es.                        d oi: 1 0. 1 1 0 9/ S R D S 4 7 3 6 3. 2 0 1 9. 0 0 0 1 2
      • A d d a d diti o n al d y n a mi c i nstr u m e nt ati o n             [ 8] V. -T.         P h a m,        M.        B o h m e, a n d            A.
             fr a m e w or k s u p p ort si n c e t h e c urr e nt Fri d a          R o y c h o u d h ur y, “ A F L N E T: A Gr e y b o x
             i m pl e m e nt ati o n is u nst a bl e.                               F uzz er f or N et w or k Pr ot o c ols,” i n 2 0 2 0
      • A d d c o m pr ess e d                  gR P C        m ess a g es          I E E E 1 3t h I nt er n ati o n al C o nf er e n c e o n
             s u p p ort.                                                           S oft w ar e           T esti n g,          V ali d ati o n        and
                                                                                    V erifi c ati o n (I C S T), P ort o, P ort u g al, O ct.
       2 0 2 0,                        p.                     4 6 0 – 4 6 5.           S o m e Mi d dl e w ar e T e c h n ol o gi es ” 2 0 2 0.
       d oi: 1 0. 1 1 0 9/I C S T 4 6 3 9 9. 2 0 2 0. 0 0 0 6 2                        I nt er n ati o n al J o ur n al of M o d er n E d u c ati o n &
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