GHSA-8444-P2RX-H3VP
Vulnerability from github – Published: 2026-03-16 15:30 – Updated: 2026-07-14 00:31
VLAI
Details
A flaw was found in GNU Binutils. This heap-based buffer overflow vulnerability, specifically an out-of-bounds read in the bfd linker, allows an attacker to gain access to sensitive information. By convincing a user to process a specially crafted XCOFF object file, an attacker can trigger this flaw, potentially leading to information disclosure or an application level denial of service.
Severity
6.1 (Medium)
{
"affected": [],
"aliases": [
"CVE-2026-3441"
],
"database_specific": {
"cwe_ids": [
"CWE-125"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2026-03-16T14:19:47Z",
"severity": "MODERATE"
},
"details": "A flaw was found in GNU Binutils. This heap-based buffer overflow vulnerability, specifically an out-of-bounds read in the bfd linker, allows an attacker to gain access to sensitive information. By convincing a user to process a specially crafted XCOFF object file, an attacker can trigger this flaw, potentially leading to information disclosure or an application level denial of service.",
"id": "GHSA-8444-p2rx-h3vp",
"modified": "2026-07-14T00:31:00Z",
"published": "2026-03-16T15:30:44Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-3441"
},
{
"type": "WEB",
"url": "https://access.redhat.com/errata/RHSA-2026:33527"
},
{
"type": "WEB",
"url": "https://access.redhat.com/errata/RHSA-2026:39022"
},
{
"type": "WEB",
"url": "https://access.redhat.com/security/cve/CVE-2026-3441"
},
{
"type": "WEB",
"url": "https://bugzilla.redhat.com/show_bug.cgi?id=2443826"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:N/A:L",
"type": "CVSS_V3"
}
]
}
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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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