CVE-2023-6601
Ffmpeg 2.0 – 6.0
Raw vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:N/A:NSummary
CVE-2023-6601 is a medium-severity Resource Injection (CWE-99) vulnerability in Ffmpeg Ffmpeg. Its CVSS base score is 4.7 (Medium).
Operationally, ranked at the 32th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2023-58824
Vulnerability Data
A flaw was found in FFmpeg's HLS demuxer. This vulnerability allows bypassing unsafe file extension checks and triggering arbitrary demuxers via base64-encoded data URIs appended with specific file extensions.
- CWE(s)
Related Threats
CVEs Like This One
Affected Assets
Mitigating Controls
Control response
—
—
—
V1.3.1V1.3.8V1.3.9V1.3.11
Likely Mitigating Controls AI
Per-CVE control mapping for this CVE has not run yet; the list below is derived from the weakness types (CWEs) cited in the NVD entry.
Makes persistent code injection into loaded programs impossible when the executable image itself resides on hardware-protected read-only media.
Dynamically generated code can be produced and executed inside the isolated chamber, preventing host compromise from code-injection payloads.
Validates inputs used in dynamic code generation to block injected directives.
Directly prevents execution of attacker-supplied code written into data memory regions.
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 require input validation and sanitization that prevent resource-identifier injection flaws.
Least-privilege access policy and enforcement limits damage from injected resource identifiers even when input validation is absent.
Network segmentation and unauthorized-access controls reduce the blast radius of successful resource injection.
PR.DS-10 protects runtime data confidentiality/integrity but has no bearing on neutralizing externally influenced input during code generation, so neither direction shows any preventive effect.
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 resource-injection flaws but does not itself implement preventive controls.
Secure SDLC mandates input validation and resource-identifier sanitization that directly prevents resource injection.
Application security requirements explicitly call for controls on external identifiers used to access resources.
Secure architecture principles reduce attack surface for resource injection but do not prescribe identifier validation.
Secure coding standards require strict validation and whitelisting of all resource identifiers before use.
Information-access-restriction policies limit which resources can be referenced, indirectly reducing injection impact.