Raw vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:N/I:L/A:NSummary
CVE-2026-33081 is a medium-severity SSRF (CWE-918) vulnerability in Pinchtab Pinchtab. Its CVSS base score is 5.8 (Medium).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked at the 21th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.
This vulnerability is AI-related — categorised as AI Agent Protocols and Integrations; in the Supply Chain and Deployment risk domain.
The strongest mitigations our analysis identified map to AC-4 (Information Flow Enforcement) and SI-10 (Information Input Validation) — see the control section below for these in your framework.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2026-13649
Vulnerability Data
PinchTab is a standalone HTTP server that gives AI agents direct control over a Chrome browser. Versions 0.8.2 and below have a Blind SSRF vulnerability in the /download endpoint. The validateDownloadURL() function only checks the initial user-supplied URL, but the…
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embedded Chromium browser can follow attacker-controlled redirects/navigations to internal network addresses after validation. Exploitation requires security.allowDownload=true (disabled by default), limiting real-world impact. An attacker-controlled page can use JavaScript redirects or resource requests to make the browser reach internal services from the PinchTab host, resulting in a blind Server-Side Request Forgery (SSRF) condition against internal-only services. The issue has been patched in version 0.8.3.
- CWE(s)
AI Security AnalysisAI
- AI Category
- AI Agent Protocols and Integrations
- Risk Domain
- Supply Chain and Deployment
- OWASP Top 10 for LLMs 2025
- None mapped
- Classification Reason
- Matched keywords: ai
Related Threats
MITRE ATT&CK Enterprise TechniquesAI
Why these techniques?
Direct SSRF in public-facing HTTP server (/download endpoint) enables exploitation of the application itself per CWE-918.
CVEs Like This One
Affected Assets
Mitigating Controls
Control response
Mitigating Controls (NIST 800-53 r5) AI
Directly requires validation of user-supplied URLs (and any subsequent redirects) to block the blind SSRF that occurs when validateDownloadURL() is bypassed by Chromium navigation.
Enforces information-flow rules that can deny requests from the embedded browser to internal RFC1918 addresses, stopping the SSRF after the initial /download validation.
Boundary-protection mechanisms can restrict the Chromium process from initiating connections to internal-only services, limiting the impact of the redirect-based SSRF.
Mitigating Controls (NIST CSF 2.0) AI
Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→CSF cross-walk (authority under review) — links open the control.
Secure development practices directly include input validation and destination allow-listing that prevent SSRF.
Runtime monitoring of web applications and services can detect anomalous outbound requests indicative of SSRF.
Vulnerability identification processes can discover and record SSRF flaws in web applications.
Network segmentation and egress controls can limit the damage from successful SSRF requests.
Mitigating Controls (ISO/IEC 27001:2022 Annex A) AI
Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→ISO cross-walk (authority under review) — links open the control.
Operational threat data describing SSRF campaigns can be used to tighten outbound-request allow-lists and detection rules before attackers exploit them.