Raw vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:HSummary
CVE-2024-31002 is a critical-severity Out-of-bounds Write (CWE-787) vulnerability in Axiosys Bento4. Its CVSS base score is 9.8 (Critical).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploitation for Privilege Escalation (T1068); ranked in the top 30% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.
The strongest mitigations our analysis identified map to SA-11 (Developer Testing and Evaluation) and SA-15 (Development Process, Standards, and Tools) — see the control section below for these in your framework.
Deeper analysis AI-assisted summary
Synthesised by an AI model from the NVD description and linked references — a reading aid, not an authoritative source.
CVE-2024-31002 is a buffer overflow vulnerability in Bento4 version 1.6.0-641, specifically in the AP4_BitReader::ReadCache function within the Ap4Utils.cpp component. The flaw is classified under CWE-787 and carries a CVSS 3.1 score of 9.8, reflecting its critical severity due to network-accessible exploitation without authentication or user interaction.
A remote attacker can supply a crafted input that triggers the overflow, enabling arbitrary code execution on the affected system. Because the vulnerability requires no privileges or user action, it can be exploited over the network against any exposed Bento4 instance processing untrusted media files.
The EPSS score for this CVE has remained flat at 0.1044 with no material increase since disclosure. Public references consist of GitHub issue reports and a CVE tracking repository, but no vendor advisory or patch details are provided in the available sources.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2024-28920
Vulnerability Data
Buffer Overflow vulnerability in Bento4 Bento v.1.6.0-641 allows a remote attacker to execute arbitrary code via the AP4 BitReader::ReadCache() at Ap4Utils.cpp component.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Mitigating Controls (NIST 800-53 r5) AI
Developer testing and evaluation (including fuzzing and bounds checks) finds out-of-bounds write flaws before deployment.
Requiring documented secure-development standards and tools can mandate bounds-checked coding practices that avoid the weakness.
Input validation can structurally reject or sanitize data that would otherwise trigger an out-of-bounds write.
Memory-protection mechanisms limit the exploitability and blast radius of a successful out-of-bounds write.
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 (static analysis, bounds checking, code review) are the primary means of preventing out-of-bounds writes.
Vulnerability scanning and recording can discover out-of-bounds write flaws so they can be remediated.
Patching or replacing vulnerable software directly eliminates known instances of this coding weakness.
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 in development and acceptance can detect and prevent out-of-bounds write defects.
Secure development life cycle mandates practices that prevent out-of-bounds writes.
Application security requirements can specify bounds-checking and safe memory handling.
Secure architecture and engineering principles reduce the likelihood of buffer overflows.
Secure coding directly addresses out-of-bounds writes through language choice and coding standards.
Change management can enforce review gates that catch unsafe memory operations before deployment.