Raw vector
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:L/VI:L/VA:L/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:XSummary
CVE-2025-2176 is a medium-severity Integer Overflow or Wraparound (CWE-190) vulnerability in Zapping-Vbi Zvbi. Its CVSS base score is 6.9 (Medium).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploitation for Privilege Escalation (T1068); ranked at the 48th percentile by exploit likelihood (below the median); 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.
CVE-2025-2176 is a critical integer overflow vulnerability in libzvbi versions up to 0.2.43, specifically affecting the vbi_capture_sim_load_caption function in the src/io-sim.c file. The issue, tied to CWE-189 and CWE-190, allows manipulation that triggers the overflow, and it has a CVSS v3.1 base score of 7.3 (AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:L/A:L).
Remote attackers require no privileges or user interaction to exploit this vulnerability over the network with low complexity. Successful exploitation can result in limited impacts to confidentiality, integrity, and availability, such as partial data exposure, modification, or denial of service. The exploit has been publicly disclosed and may be usable.
Mitigation involves upgrading to libzvbi version 0.2.44, which addresses the issue via the patch commit ca1672134b3e2962cd392212c73f44f8f4cb489f. The project maintainer was notified in advance and responded quickly and professionally, with details available in the GitHub security advisory GHSA-g7cg-7gw9-v8cf and related release notes.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2025-7529
Vulnerability Data
A vulnerability classified as critical has been found in libzvbi up to 0.2.43. This affects the function vbi_capture_sim_load_caption of the file src/io-sim.c. The manipulation leads to integer overflow. It is possible to initiate the attack remotely. The exploit has been…
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disclosed to the public and may be used. Upgrading to version 0.2.44 is able to address this issue. The identifier of the patch is ca1672134b3e2962cd392212c73f44f8f4cb489f. It is recommended to upgrade the affected component. The code maintainer was informed beforehand about the issues. She reacted very fast and highly professional.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Control response
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V5.2.6
Mitigating Controls (NIST 800-53 r5) AI
Developer testing and evaluation (static analysis, fuzzing, unit tests) directly finds integer overflow defects before deployment.
Secure engineering principles require use of safe arithmetic constructs or language features that structurally eliminate integer overflow during calculation.
Input validation enforces bounds on values before arithmetic, stopping the conditions that trigger overflow or wraparound.
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 use of safe arithmetic, bounds checks, and testing that prevent integer overflows.
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 can detect integer overflows before release.
Secure SDLC mandates input validation and arithmetic checks that prevent integer overflows.
Application security requirements include bounds checking and safe arithmetic to avoid overflow conditions.
Secure architecture principles require defensive coding patterns that mitigate integer wraparound risks.
Secure coding standards explicitly forbid unsafe integer operations and mandate overflow-safe constructs.