CVE-2024-50290 (GCVE-0-2024-50290)
Vulnerability from cvelistv5 – Published: 2024-11-19 01:30 – Updated: 2026-05-11 20:49
VLAI
EPSS
VEX
Title
media: cx24116: prevent overflows on SNR calculus
Summary
In the Linux kernel, the following vulnerability has been resolved:
media: cx24116: prevent overflows on SNR calculus
as reported by Coverity, if reading SNR registers fail, a negative
number will be returned, causing an underflow when reading SNR
registers.
Prevent that.
Severity
5.5 (Medium)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-10-01 20:14 UTC
CWE
- CWE-191 - Integer Underflow (Wrap or Wraparound)
Assigner
References
10 references
Impacted products
2 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Linux | Linux |
Affected:
8953db793d5bdeea5ac92c9e97f57d3ff8a7dccf , < 127b9076baeadd734b18ddc8f2cd93b47d5a3ea3
(git)
Affected: 8953db793d5bdeea5ac92c9e97f57d3ff8a7dccf , < cad97ca8cfd43a78a19b59949f33e3563d369247 (git) Affected: 8953db793d5bdeea5ac92c9e97f57d3ff8a7dccf , < 828047c70f4716fde4b1316f7b610e97a4e83824 (git) Affected: 8953db793d5bdeea5ac92c9e97f57d3ff8a7dccf , < f2b4f277c41db8d548f38f1dd091bbdf6a5acb07 (git) Affected: 8953db793d5bdeea5ac92c9e97f57d3ff8a7dccf , < fbefe31e4598cdb0889eee2e74c995b2212efb08 (git) Affected: 8953db793d5bdeea5ac92c9e97f57d3ff8a7dccf , < 83c152b55d88cbf6fc4685941fcb31333986774d (git) Affected: 8953db793d5bdeea5ac92c9e97f57d3ff8a7dccf , < 3a1ed994d9454132354b860321414955da289929 (git) Affected: 8953db793d5bdeea5ac92c9e97f57d3ff8a7dccf , < 576a307a7650bd544fbb24df801b9b7863b85e2f (git) |
guessed | |
| Linux | Linux |
Affected:
2.6.28
Unaffected: 0 , < 2.6.28 (semver) Unaffected: 4.19.324 , ≤ 4.19.* (semver) Unaffected: 5.4.286 , ≤ 5.4.* (semver) Unaffected: 5.10.230 , ≤ 5.10.* (semver) Unaffected: 5.15.172 , ≤ 5.15.* (semver) Unaffected: 6.1.117 , ≤ 6.1.* (semver) Unaffected: 6.6.61 , ≤ 6.6.* (semver) Unaffected: 6.11.8 , ≤ 6.11.* (semver) Unaffected: 6.12 , ≤ * (original_commit_for_fix) |
guessed |
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{
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}
],
"id": "CVE-2024-50290",
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},
{
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"url": "https://lists.debian.org/debian-lts-announce/2025/03/msg00002.html"
}
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.
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