CVE-2020-27619 (GCVE-0-2020-27619)
Vulnerability from cvelistv5 – Published: 2020-10-22 00:00 – Updated: 2024-08-04 16:18
VLAI
EPSS
VEX
Summary
In Python 3 through 3.9.0, the Lib/test/multibytecodec_support.py CJK codec tests call eval() on content retrieved via HTTP.
Severity
9.8 (Critical)
CWE
- n/a
Assigner
References
14 references
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"redhat_vex": {
"aggregate_severity": "Moderate",
"current_release_date": "2026-06-28T07:36:09+00:00",
"cve": "CVE-2020-27619",
"id": "CVE-2020-27619",
"initial_release_date": "2020-10-05T00:00:00+00:00",
"product_status:fixed": "765",
"product_status:known_affected": "33",
"product_status:known_not_affected": "34",
"source": "Red Hat CSAF VEX",
"status": "final",
"title": "python: Unsafe use of eval() on data retrieved via HTTP in the test suite",
"url": "https://security.access.redhat.com/data/csaf/v2/vex/2020/cve-2020-27619.json",
"version": "3"
},
"suse_vex": {
"aggregate_severity": "important",
"current_release_date": "2026-09-13T23:58:56Z",
"cve": "CVE-2020-27619",
"id": "CVE-2020-27619",
"initial_release_date": "2023-02-15T03:52:41Z",
"product_status:known_affected": "299",
"product_status:known_not_affected": "235",
"product_status:recommended": "889",
"source": "SUSE CSAF VEX",
"status": "interim",
"title": "SUSE CVE CVE-2020-27619",
"url": "https://ftp.suse.com/pub/projects/security/csaf-vex/cve-2020-27619.json",
"version": "50"
}
}
}
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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.
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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