CVE Database

A malicious actor with access to the network and low privileges could exploit a Server-Side Request Forgery (SSRF) to escalate privileges within such UniFi OS devices or instances.

Unauthenticated Server Side Request Forgery (SSRF) in Paid Member Subscriptions <= 3.0.4 versions.

PIA's OIDC issuer allowlist for Jenkins tokens uses a bare string-prefix check (issuer.startswith(' https://ci.eclipse.org ') in is_issuer_known, pia/models.py:139) instead of validating the issuer as a properly host-bounded URL. An attacker can craft an issuer such as https://ci.eclipse.org@evil.host (userinfo trick) or https://ci.eclipse.org.evil.host (suffix trick) that satisfies the prefix check while pointing the OIDC discovery and JWKS fetches at a server the attacker controls. An unauthenticated caller of POST /v1/upload/sbom can use this to force PIA to make outbound HTTP(S) requests to an arbitrary attacker-chosen host, and to have oidc.verify_token accept a JWT signed with the attacker's own key.

NVIDIA Megatron Bridge for Linux contains a vulnerability where an attacker could cause server-side request forgery. A successful exploit of this vulnerability might lead to information disclosure.

IBM Langflow OSS 1.0.0 through 1.9.6 contains a Server-Side Request Forgery (SSRF). The legacy RSSReaderComponent in rss.py and SearXNG component in searxng.py make unvalidated HTTP requests to user-controlled URLs, bypassing SSRF protections introduced in version 1.9.3. An authenticated attacker can exploit this to access internal resources including cloud metadata services (AWS/Azure/GCP IMDS), potentially exfiltrating IAM credentials and enumerating internal networks. The vulnerability can also be triggered through prompt injection in agentic workflows due to tool_mode=True exposure.

IBM Langflow OSS 1.0.0 through 1.9.3 contains a Server-Side Request Forgery (SSRF) protection bypass vulnerability in the API Request component. An authenticated attacker with low-level privileges (flow author role) can bypass SSRF protections by enabling the follow_redirects parameter and supplying a public URL that redirects to internal/localhost addresses. The vulnerability exists because the application validates only the initial URL but does not re-validate redirect destinations. This allows attackers to access internal HTTP services, localhost endpoints, cloud metadata services, and private network resources that should be unreachable when SSRF protection is enabled. Successful exploitation can lead to disclosure of sensitive information including credentials, tokens, internal API responses, and administrative panel data.

ColdFusion versions 2025.9, 2023.20 and earlier are affected by a Server-Side Request Forgery (SSRF) vulnerability that could result in a Security feature bypass. An attacker could leverage this vulnerability to bypass security measures and gain unauthorized read access. Exploitation of this issue does not require user interaction. Scope is changed.

Pinpoint through 3.1.0 contains a server-side request forgery vulnerability in the webhook registration endpoint that allows authenticated users to register internal URLs due to missing SSRF protection. Attackers can trigger alarm threshold breaches to force the server to issue POST requests to internal hosts and metadata endpoints, enabling unauthorized access to internal network resources.

Nitter's /video media proxy endpoint fails to validate target URLs against Twitter/X domains and uses a hardcoded default HMAC key, allowing unauthenticated attackers to compute valid HMACs for arbitrary URLs. Attackers can retrieve HTTP responses from any host reachable by the server, including cloud metadata services and internal network resources.

AutoGPT is a workflow automation platform for creating, deploying, and managing continuous artificial intelligence agents. Prior to 0.6.52, an authenticated user can bypass the SSRF / private-IP protections in SendWebRequestBlock and reach internal network services. _is_ip_blocked() in backend/backend/util/request.py does not normalize IPv4-mapped IPv6 addresses before checking resolved IPs against the blocked IPv4 ranges, and does not block special-use ranges such as 100.64.0.0/10 (CGNAT, RFC 6598). A hostname that resolves to an IPv4-mapped IPv6 address therefore passes validation and the request reaches the embedded internal IPv4 endpoint. This affects all AutoGPT Platform deployments. This vulnerability is fixed in 0.6.52.