Raw vector
CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:HSummary
CVE-2024-11477 is a high-severity Wrap or Wraparound (CWE-191) vulnerability in 7-Zip 7-Zip. Its CVSS base score is 7.8 (High).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploitation for Privilege Escalation (T1068); ranked in the top 3% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.
The strongest mitigations our analysis identified map to SA-11 (Developer Testing and Evaluation) and SA-8 (Security and Privacy Engineering Principles) — 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.
This vulnerability is an integer underflow in the Zstandard decompression implementation within 7-Zip that can lead to remote code execution. The flaw stems from insufficient validation of user-supplied data, allowing an underflow condition prior to a memory write operation. It affects installations of 7-Zip and was originally reported as ZDI-CAN-24346.
Remote attackers can exploit the issue by supplying a malicious archive or data stream that triggers Zstandard decompression through the affected library. Successful exploitation grants arbitrary code execution in the context of the current process, with a CVSS 3.1 score of 7.8 reflecting local access requirements combined with no privileges and user interaction.
Public advisories from the Zero Day Initiative and NetApp reference the vulnerability and direct users to vendor updates for affected 7-Zip versions. The associated EPSS score has remained flat at its peak value of 0.4423 with no material increase observed after disclosure.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2024-34129
Vulnerability Data
7-Zip Zstandard Decompression Integer Underflow Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of 7-Zip. Interaction with this library is required to exploit this vulnerability but attack vectors may vary depending on…
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the implementation. The specific flaw exists within the implementation of Zstandard decompression. The issue results from the lack of proper validation of user-supplied data, which can result in an integer underflow before writing to memory. An attacker can leverage this vulnerability to execute code in the context of the current process. Was ZDI-CAN-24346.
- 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 static/dynamic analysis directly find integer underflow defects before code is released.
Security engineering principles require use of safe arithmetic constructs or language features that structurally eliminate integer underflow during subtraction.
Input validation can reject or sanitize values that would cause a subtraction to underflow the representable range.
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 integer underflow defects via input validation, bounds checking, and static analysis.
Vulnerability scanning and code analysis can surface underflow flaws after they are introduced.
Routine patching can remediate known underflow bugs once they are discovered in deployed software.
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 catches integer underflow defects before release.
Secure development lifecycle mandates input validation and arithmetic checks that prevent integer underflow.
Application security requirements include bounds checking and safe arithmetic to avoid underflow conditions.
Secure architecture principles require defensive coding patterns that mitigate integer wraparound risks.
Secure coding standards directly prescribe safe integer handling and overflow/underflow prevention.