CVE-2025-61729 (GCVE-0-2025-61729)
Vulnerability from cvelistv5 – Published: 2025-12-02 18:54 – Updated: 2025-12-03 19:37
VLAI
EPSS
VEX
Title
Excessive resource consumption when printing error string for host certificate validation in crypto/x509
Summary
Within HostnameError.Error(), when constructing an error string, there is no limit to the number of hosts that will be printed out. Furthermore, the error string is constructed by repeated string concatenation, leading to quadratic runtime. Therefore, a certificate provided by a malicious actor can result in excessive resource consumption.
Severity
7.5 (High)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-12-02 21:52 UTC
CWE
- CWE-400 - Uncontrolled Resource Consumption
Assigner
References
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Go standard library | crypto/x509 |
Affected:
0 , < 1.24.11
(semver)
Affected: 1.25.0 , < 1.25.5 (semver) |
guessed |
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},
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"value": "Dentro de HostnameError.Error(), al construir una cadena de error, no hay l\u00edmite en el n\u00famero de hosts que se imprimir\u00e1n. Adem\u00e1s, la cadena de error se construye mediante la concatenaci\u00f3n repetida de cadenas, lo que lleva a un tiempo de ejecuci\u00f3n cuadr\u00e1tico. Por lo tanto, un certificado proporcionado por un actor malicioso puede resultar en un consumo excesivo de recursos."
}
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Sightings
| Author | Source | Type | Date | Other |
|---|
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Vulnerability timeline
Sightings and recorded dates, grouped by day · UTC
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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.
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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.