Selea Targa IP OCR-ANPR Camera Unauthenticated SSRF
This scanner detects the SSRF of Selea Targa IP OCR-ANPR Camera in digital assets.
Short Info
Level
High
Single Scan
Single Scan
Can be used by
Asset Owner
Estimated Time
1 minute
Time Interval
13 days 18 hours
Scan only one
Domain, IPv4
Toolbox
-
The Selea Targa IP OCR-ANPR Camera is commonly used by government and private organizations for automated number plate recognition. It is typically deployed in various settings such as traffic monitoring, parking management, and security enforcement. Its high-definition image capture and advanced OCR capabilities make it popular for real-time monitoring and logging of vehicle movements. Despite its specialized focus, it is part of the broader IoT ecosystem of surveillance equipment. Its ability to seamlessly integrate with larger security systems and databases is another reason for its popularity. With powerful functionality, it remains essential across industries demanding stringent security and efficiency.
The Server-Side Request Forgery (SSRF) vulnerability allows attackers to induce the server-side application to make HTTP requests to an arbitrary domain. This security flaw enables unauthorized actors to subvert traditional network security controls, potentially accessing internal systems. The vulnerability is primarily a code-level issue arising from inadequate validation of user-supplied inputs. When an attacker exploits SSRF, they can manipulate the target application into performing a wide variety of malicious activities. This issue is notable in web applications that fetch external resources or interact with other services as part of their functionality. Ultimately, SSRF can result in severe security breaches, including unauthorized data access or server compromise.
In this scenario, the vulnerability is located in the 'ipnotify_address' and 'url' parameters within specific API functionalities of the Selea Targa Camera. The vulnerability is exploited by crafting HTTP POST requests that modify these parameters to point to an attacker-controlled server. Without proper input validation, the camera's software accepts these malicious inputs and carries out requests on behalf of the user. As no security mechanisms prevent these requests, an attacker gains the ability to probe the internal environment. An essential parameter that should be watched over is the 'ACTION=TEST_IP', which allows such tests and modifications. As the system does not differentiate between safe and unsafe requests, its security integrity is compromised.
Potential effects of exploiting this SSRF vulnerability are substantial, affecting both network security and integrity. Attackers might use this vulnerability to bypass traditional network defenses, facilitating lateral movement within an organization. It allows them to map the network architecture, identifying and probing other vulnerable components. Moreover, it can result in leakage of sensitive information when internal addresses are inadvertently accessed. There may be scenarios where critical systems are disabled or manipulated, leading to operational disruptions. Ultimately, criticism on privacy and unauthorized data access potential arises, especially in applications involving sensitive data management.
REFERENCES