GHSA-46JX-RCCQ-85V5
Vulnerability from github – Published: 2025-10-01 09:30 – Updated: 2025-10-01 09:30
VLAI
Details
In the Linux kernel, the following vulnerability has been resolved:
e1000e: fix heap overflow in e1000_set_eeprom
Fix a possible heap overflow in e1000_set_eeprom function by adding input validation for the requested length of the change in the EEPROM. In addition, change the variable type from int to size_t for better code practices and rearrange declarations to RCT.
{
"affected": [],
"aliases": [
"CVE-2025-39898"
],
"database_specific": {
"cwe_ids": [],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2025-10-01T08:15:32Z",
"severity": null
},
"details": "In the Linux kernel, the following vulnerability has been resolved:\n\ne1000e: fix heap overflow in e1000_set_eeprom\n\nFix a possible heap overflow in e1000_set_eeprom function by adding\ninput validation for the requested length of the change in the EEPROM.\nIn addition, change the variable type from int to size_t for better\ncode practices and rearrange declarations to RCT.",
"id": "GHSA-46jx-rccq-85v5",
"modified": "2025-10-01T09:30:24Z",
"published": "2025-10-01T09:30:24Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2025-39898"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/0aec3211283482cfcdd606d1345e1f9acbcabd31"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/50a84d5c814039ad2abe2748aec3e89324a548a7"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/90fb7db49c6dbac961c6b8ebfd741141ffbc8545"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/99a8772611e2d7ec318be7f0f072037914a1f509"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/b370f7b1f470a8d5485cc1e40e8ff663bb55d712"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/b48adcacc34fbbc49046a7ee8a97839bef369c85"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/ce8829d3d44b8622741bccca9f4408bc3da30b2b"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/ea832ec0583e2398ea0c5ed8d902c923e16f53c4"
}
],
"schema_version": "1.4.0",
"severity": []
}
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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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