CVE-2025-14819 (GCVE-0-2025-14819)
Vulnerability from cvelistv5 – Published: 2026-01-08 10:07 – Updated: 2026-09-15 06:02
VLAI
EPSS
VEX
Title
OpenSSL partial chain store policy bypass
Summary
When doing TLS related transfers with reused easy or multi handles and
altering the `CURLSSLOPT_NO_PARTIALCHAIN` option, libcurl could accidentally
reuse a CA store cached in memory for which the partial chain option was
reversed. Contrary to the user's wishes and expectations. This could make
libcurl find and accept a trust chain that it otherwise would not.
Severity
5.3 (Medium)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-01-08 15:00 UTC
CWE
- CWE-295 - Improper Certificate Validation
Assigner
References
Impacted products
3 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| curl | curl |
Affected:
7.87.0 , < 8.14.2
(semver)
Affected: 8.15.0 , < 8.16.1 (semver) Affected: 8.17.0 , < 8.18.0 (semver) |
guessed | |
| curl | curl |
Affected:
3c16697ebd796f799227be293e8689aec5f8190d , < cd046f6c93b39d673a58c18648d8906e954c4f5d
(git)
|
guessed | |
| curl | curl |
Affected:
8.17.0
Affected: 8.16.0 Affected: 8.15.0 Affected: 8.14.1 Affected: 8.14.0 Affected: 8.13.0 Affected: 8.12.1 Affected: 8.12.0 Affected: 8.11.1 Affected: 8.11.0 Affected: 8.10.1 Affected: 8.10.0 Affected: 8.9.1 Affected: 8.9.0 Affected: 8.8.0 Affected: 8.7.1 Affected: 8.7.0 Affected: 8.6.0 Affected: 8.5.0 Affected: 8.4.0 Affected: 8.3.0 Affected: 8.2.1 Affected: 8.2.0 Affected: 8.1.2 Affected: 8.1.1 Affected: 8.1.0 Affected: 8.0.1 Affected: 8.0.0 Affected: 7.88.1 Affected: 7.88.0 Affected: 7.87.0 |
guessed |
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"cveMetadata": "{\"cveId\": \"CVE-2025-14819\", \"state\": \"PUBLISHED\", \"dateUpdated\": \"2026-09-15T06:02:30.824Z\", \"dateReserved\": \"2025-12-17T09:55:27.969Z\", \"assignerOrgId\": \"2499f714-1537-4658-8207-48ae4bb9eae9\", \"datePublished\": \"2026-01-08T10:07:54.408Z\", \"assignerShortName\": \"curl\"}",
"dataType": "CVE_RECORD",
"dataVersion": "5.2"
}
}
}
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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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