GSD-2022-38792
Vulnerability from gsd - Updated: 2023-12-13 01:19Details
The exotel (aka exotel-py) package in PyPI as of 0.1.6 includes a code execution backdoor inserted by a third party.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2022-38792",
"description": "The exotel (aka exotel-py) package in PyPI as of 0.1.6 includes a code execution backdoor inserted by a third party.",
"id": "GSD-2022-38792"
},
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"modified": "2023-12-13T01:19:22.255831Z",
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"gitlab.com": {
"advisories": [
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"affected_versions": "Version 0.1.6",
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"cwe_ids": [
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"CWE-78",
"CWE-937"
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"date": "2022-09-20",
"description": "The exotel (aka exotel-py) package in PyPI as of 0.1.6 includes a code execution backdoor inserted by a third party.",
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"identifier": "CVE-2022-38792",
"identifiers": [
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"not_impacted": "",
"package_slug": "pypi/exotel",
"pubdate": "2022-08-28",
"solution": "Unfortunately, there is no solution available yet.",
"title": "Improper Neutralization of Special Elements used in an OS Command (\u0027OS Command Injection\u0027)",
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},
"impact": {
"baseMetricV3": {
"cvssV3": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 9.8,
"baseSeverity": "CRITICAL",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
"version": "3.1"
},
"exploitabilityScore": 3.9,
"impactScore": 5.9
}
},
"lastModifiedDate": "2022-09-01T19:36Z",
"publishedDate": "2022-08-27T20:15Z"
}
}
}
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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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