GHSA-H9Q6-HWX8-GW7H
Vulnerability from github – Published: 2026-09-23 12:31 – Updated: 2026-09-23 12:31
VLAI
Details
A vulnerability in Apache Sling Security Bundle: the ReferrerFilter accepts weaker-than-orgin evidence.
This issue affects Apache Sling Security Bundle: before 1.3.2.
Users are recommended to upgrade to version 1.3.2, which fixes the issue.
{
"affected": [],
"aliases": [
"CVE-2026-94243"
],
"database_specific": {
"cwe_ids": [
"CWE-346"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2026-09-23T10:17:08Z",
"severity": null
},
"details": "A vulnerability in Apache Sling Security Bundle: the ReferrerFilter accepts weaker-than-orgin evidence.\n\n\n\nThis issue affects Apache Sling Security Bundle: before 1.3.2.\n\n\n\nUsers are recommended to upgrade to version 1.3.2, which fixes the issue.",
"id": "GHSA-h9q6-hwx8-gw7h",
"modified": "2026-09-23T12:31:13Z",
"published": "2026-09-23T12:31:13Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-94243"
},
{
"type": "WEB",
"url": "https://lists.apache.org/thread/ohz47f6hrflsjvt9m24qz69qm5w4bwyr"
}
],
"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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