CVE-2019-14853 (GCVE-0-2019-14853)
Vulnerability from cvelistv5 – Published: 2019-11-26 12:06 – Updated: 2024-08-05 00:26
VLAI
EPSS
VEX
Summary
An error-handling flaw was found in python-ecdsa before version 0.13.3. During signature decoding, malformed DER signatures could raise unexpected exceptions (or no exceptions at all), which could lead to a denial of service.
Severity
CWE
Assigner
References
4 references
| URL | Tags |
|---|---|
| https://bugzilla.redhat.com/show_bug.cgi?id=CVE-2… | x_refsource_CONFIRM |
| https://github.com/warner/python-ecdsa/releases/t… | x_refsource_MISC |
| https://www.debian.org/security/2019/dsa-4588 | vendor-advisoryx_refsource_DEBIAN |
| https://seclists.org/bugtraq/2019/Dec/33 | mailing-listx_refsource_BUGTRAQ |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| [UNKNOWN] | python-ecdsa |
Affected:
0.13.3
|
guessed |
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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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