Server side request forgery (ssrf)

Server-Side Request Forgery SSRF in GitHub repository jgraph/drawio prior to 18.0.6...

CVE-2022-1723

CVE-2022-1723 describes a Server-Side Request Forgery (SSRF) in the GitHub repository jgraph/drawio, affecting versions prior to 18.0.6. Multiple sources corroborate an SSRF vulnerability in the draw.io server component, with impact as described in CVE records. Affected software is the draw.io/se...

CVE-2022-1723

Server-Side Request Forgery SSRF in GitHub repository jgraph/drawio prior to 18.0.6...

CVE-2022-1723 Server-Side Request Forgery (SSRF) in jgraph/drawio

Server-Side Request Forgery SSRF in GitHub repository jgraph/drawio prior to 18.0.6...

CVE-2022-1723 Server-Side Request Forgery (SSRF) in jgraph/drawio

Server-Side Request Forgery SSRF in GitHub repository jgraph/drawio prior to 18.0.6...

PT-2022-14074

Name of the Vulnerable Software and Affected Versions jgraph/drawio versions prior to 18.0.6 Description The issue is related to Server-Side Request Forgery SSRF in the GitHub repository jgraph/drawio. Recommendations For versions prior to 18.0.6, update to version 18.0.6 or later to resolve the...

CVE-2022-1711: Server-Side Request Forgery (SSRF)

Server-Side Request Forgery SSRF in GitHub repository jgraph/drawio prior to 18.0.5...

CVE-2022-1723: Server-Side Request Forgery (SSRF)

Server-Side Request Forgery SSRF in GitHub repository jgraph/drawio prior to 18.0.6...

PT-2022-14063 · Unknown · Jgraph/Drawio

Name of the Vulnerable Software and Affected Versions: jgraph/drawio versions prior to 18.0.5 Description: The issue is related to Server-Side Request Forgery SSRF in the GitHub repository jgraph/drawio. SSRF is a type of attack where an attacker can trick a server into making requests to interna...

JGraph Draw.io code issues and vulnerabilities

JGraph draw.io is a configurable chart/whiteboard visualization application from JGraph. A security vulnerability exists in JGraph draw.io prior to version 18.0.6, which stems from a server-side request forgery SSRF vulnerability in draw.io...

JGraph Draw.io code issues and vulnerabilities

JGraph draw.io is a configurable chart/whiteboard visualization application from JGraph. A security vulnerability exists in JGraph draw.io prior to version 18.0.6, which stems from a server-side request forgery SSRF vulnerability in draw.io...

CVE-2022-1722

SSRF in editor's proxy via IPv6 link-local address in GitHub repository jgraph/drawio prior to 18.0.5. SSRF to internal link-local IPv6 addresses...

CVE-2022-1713

SSRF on /proxy in GitHub repository jgraph/drawio prior to 18.0.4. An attacker can make a request as the server and read its contents. This can lead to a leak of sensitive information...

CVE-2022-1713

SSRF on /proxy in GitHub repository jgraph/drawio prior to 18.0.4. An attacker can make a request as the server and read its contents. This can lead to a leak of sensitive information...

CVE-2022-1721

Path Traversal in WellKnownServlet in GitHub repository jgraph/drawio prior to 18.0.5. Read local files of the web application...

CVE-2022-1722

SSRF in editor's proxy via IPv6 link-local address in GitHub repository jgraph/drawio prior to 18.0.5. SSRF to internal link-local IPv6 addresses...

Server side request forgery (ssrf)

SSRF on /proxy in GitHub repository jgraph/drawio prior to 18.0.4. An attacker can make a request as the server and read its contents. This can lead to a leak of sensitive information...

Path traversal

Path Traversal in WellKnownServlet in GitHub repository jgraph/drawio prior to 18.0.5. Read local files of the web application...

CVE-2022-1713 SSRF on /proxy in jgraph/drawio

SSRF on /proxy in GitHub repository jgraph/drawio prior to 18.0.4. An attacker can make a request as the server and read its contents. This can lead to a leak of sensitive information...

CVE-2022-1713

CVE-2022-1713 affects jgraph/drawio prior to 18.0.4. The connected Nuclei template confirms a Server-Side Request Forgery (SSRF) at the /proxy endpoint, allowing an attacker to make requests as the server and read contents, enabling potential data leakage. Impact is described as reading internal ...