CVE-2022-1711 Scanner

draw.io, also known as diagrams.net, is widely used by individuals and organizations for creating process diagrams and flowcharts. It is popular for its simplicity and integration with cloud storage services. Security teams often utilize Draw.io for visual representation of network layouts and workflows. The software is commonly employed in IT departments for time-saving visual planning. Project managers also use it for project mapping and tracking progress. Web developers appreciate Draw.io’s broad compatibility with web services.

Server-Side Request Forgery (SSRF) is a critical vulnerability where an attacker can make unauthorized requests from the server. This can affect the confidentiality and integrity of application data. SSRF can lead to an escalation of access by attackers into services not intended to be exposed. Attackers leverage SSRF vulnerabilities to gain sensitive information from server responses. Mitigation is crucial, as SSRF could be a pivot point for deeper network attacks. Notably, SSRF was listed among OWASP’s top vulnerabilities.

The SSRF vulnerability in draw.io occurs due to improper URL validation in the ProxyServlet component. Attackers exploit this by injecting manipulated URLs to the proxy endpoint of draw.io. This vector allows unauthorized access to internal resources through the server. As the application forwards requests without adequate checks, the exploitation could expose internal APIs or management interfaces. The vulnerability is particularly potent with applications that have weak internal segregation controls. Attackers gaining access can lead to data exfiltration or service disruptions.

Exploitation of SSRF in draw.io allows attackers to target external and internal systems leading to data theft. Information disclosure is a significant risk, which could include sensitive configurations. Attackers can use the SSRF to impact service availability by redirecting requests maliciously. Unauthorized access to internal networks and resources significantly amplifies risk, potentially leading to full system compromise. Affected systems might experience reputational damage or regulatory repercussions if data protection is breached.

REFERENCES

• https://huntr.dev/bounties/c32afff5-6ad5-4d4d-beea-f55ab4925797
• https://github.com/jgraph/drawio/commit/cf5c78aa0f3127fb10053db55b39f3017a0654ae
• https://nvd.nist.gov/vuln/detail/CVE-2022-1711