The trending usage of IoT devices raises serious security concerns. IoT devices have complete access to users’ network environments. In the eyes of hackers, the value of IoT devices is exceptionally high. From minor disturbances to major crimes, all could happen in no time with compromised IoT devices. As the IoT devices collects sensitive data, properly protect users’ privacy is also a crucial aspect for IoT devices. Thus, IoT devices need to be secure enough against modern cyber-attacks. In this work, a smart camera DCS-8515LH from D-Link is under penetration tests. Threat modeling is first performed as an analysis of the IoT system following by a dozen cyber attacks targeting this smart camera. The penetration tests provide valuable information that can reveal the smart camera’s vulnerability and weakness, such as security misconfiguration, vulnerability to DoS attacks. The smart camera is discovered to be vulnerable to DoS attacks and exploits on the zero-configuration protocol. Several weaknesses which violate the users’ privacy exist in the mobile application and Android storage system. This work evaluated all the vulnerabilities and weaknesses discovered from a security aspect. This report exposes attacks that are effective on the smart camera and also serves as a fundamental basis for future penetration tests on this smart camera. / I detta arbete är en smart kamera DCS-8515LH från D-Link under penetrationstester. Hotmodellering utförs först som en analys av IoT-systemet följt av ett dussin cyberattacker riktade mot denna smarta kamera. Penetrationstesterna ger värdefull information som kan avslöja den smarta kamerans sårbarhet och svaghet, såsom säkerhetsfelkonfiguration, sårbarhet för Dos-attacker. Den smarta kameran har upptäckts vara sårbar för DoS-attacker och utnyttjande av nollkonfigurationsprotokollet. Flera svagheter som kränker användarnas integritet finns i mobilapplikationen och Android-lagringssystemet. Detta arbete utvärderade alla sårbarheter och svagheter som upptäckts ur en säkerhetsaspekt. Den här rapporten avslöjar attacker som är effektiva på den smarta kameran och fungerar också som en grundläggande bas för framtida penetrationstester på denna smarta kamera.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:kth-325859 |
| Date | January 2023 |
| Creators | Zhuang, Chunyu |
| Publisher | KTH, Skolan för elektroteknik och datavetenskap (EECS) |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
| Relation | TRITA-EECS-EX ; 2023:109 |
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