CVE-2026-33620
Pinchtab 0.7.8 – 0.8.4
Raw vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:L/I:N/A:NSummary
CVE-2026-33620 is a medium-severity Use of HTTP Request With Sensitive Query String (CWE-598) vulnerability in Pinchtab Pinchtab. Its CVSS base score is 4.3 (Medium).
Operationally, exploitation aligns with the MITRE ATT&CK technique Unsecured Credentials (T1552); ranked at the 19th 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 Privacy and Disclosure risk domain.
The strongest mitigations our analysis identified map to IA-5 (Authenticator Management) and SC-8 (Transmission Confidentiality and Integrity) — see the control section below for these in your framework.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2026-16401
Vulnerability Data
PinchTab is a standalone HTTP server that gives AI agents direct control over a Chrome browser. PinchTab `v0.7.8` through `v0.8.3` accepted the API token from a `token` URL query parameter in addition to the `Authorization` header. When a valid API…
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credential is sent in the URL, it can be exposed through request URIs recorded by intermediaries or client-side tooling, such as reverse proxy access logs, browser history, shell history, clipboard history, and tracing systems that capture full URLs. This issue is an unsafe credential transport pattern rather than a direct authentication bypass. It only affects deployments where a token is configured and a client actually uses the query-parameter form. PinchTab's security guidance already recommended `Authorization: Bearer <token>`, but `v0.8.3` still accepted `?token=` and included first-party flows that generated and consumed URLs containing the token. This was addressed in v0.8.4 by removing query-string token authentication and requiring safer header- or session-based authentication flows.
- CWE(s)
AI Security AnalysisAI
- AI Category
- AI Agent Protocols and Integrations
- Risk Domain
- Privacy and Disclosure
- OWASP Top 10 for LLMs 2025
- None mapped
- Classification Reason
- Matched keywords: ai
Related Threats
MITRE ATT&CK Enterprise TechniquesAI
Why these techniques?
Vulnerability exposes API tokens in URLs/logs/history (CWE-598), directly facilitating discovery of unsecured credentials.
CVEs Like This One
Affected Assets
Mitigating Controls
Control response
Mitigating Controls (NIST 800-53 r5) AI
Requires secure management and transmission of authenticators, directly prohibiting exposure of tokens via query parameters in URLs.
Mandates cryptographic protection and confidentiality mechanisms for sensitive data such as credentials during transmission, eliminating unsafe query-string transport.
Enforces session authenticity through secure mechanisms (headers or established sessions) rather than embedding credentials in request URIs.
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 SDLC practices directly prevent embedding sensitive data in query strings as part of input-handling and data-flow design.
HTTPS encryption protects query strings in transit but does not address the root design flaw of placing sensitive data in URLs.
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.
Security testing can detect sensitive data leakage via query strings.
DLP solutions can detect and block sensitive data in URLs.
Network security controls can enforce HTTPS and block sensitive data in URLs.
Application security requirements should mandate avoiding sensitive data in query strings.
Secure architecture principles discourage exposing sensitive data in URLs.
Secure coding standards directly prohibit placing secrets in query parameters.