CVE-2025-9864 (GCVE-0-2025-9864)
Vulnerability from cvelistv5 – Published: 2025-09-03 16:17 – Updated: 2026-01-10 00:22
VLAI
EPSS
VEX
This CVE ID was assigned in error to a vulnerability that was both introduced and fixed before the code landed in the Stable channel of Chrome, and has been withdrawn.
Show details on NVD website{
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"datePublished": "2025-09-03T16:17:47.461Z",
"dateRejected": "2025-11-13T17:21:51.881Z",
"dateReserved": "2025-09-02T18:36:21.423Z",
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}
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"id": "CVE-2025-9864",
"lastModified": "2025-11-13T18:15:56.610",
"metrics": {},
"published": "2025-09-03T17:15:34.623",
"references": [],
"sourceIdentifier": "chrome-cve-admin@google.com",
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"redhat_vex": {
"current_release_date": "2026-06-27T06:25:16+00:00",
"cve": "CVE-2025-9864",
"id": "CVE-2025-9864",
"initial_release_date": "2025-09-03T16:17:47.461000+00:00",
"product_status:known_not_affected": "1",
"source": "Red Hat CSAF VEX",
"status": "final",
"title": "chromium-browser: Use after free in Cast in Google Chrome",
"url": "https://security.access.redhat.com/data/csaf/v2/vex/2025/cve-2025-9864.json",
"version": "3"
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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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