GSD-2023-22451
Vulnerability from gsd - Updated: 2023-12-13 01:20Details
Kiwi TCMS is an open source test management system. In version 11.6 and prior, when users register new accounts and/or change passwords, there is no validation in place which would prevent them from picking an easy to guess password. This issue is resolved by providing defaults for the `AUTH_PASSWORD_VALIDATORS` configuration setting. As of version 11.7, the password can’t be too similar to other personal information, must contain at least 10 characters, can’t be a commonly used password, and can’t be entirely numeric. As a workaround, an administrator may reset all passwords in Kiwi TCMS if they think a weak password may have been chosen.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2023-22451",
"id": "GSD-2023-22451"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
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"details": "Kiwi TCMS is an open source test management system. In version 11.6 and prior, when users register new accounts and/or change passwords, there is no validation in place which would prevent them from picking an easy to guess password. This issue is resolved by providing defaults for the `AUTH_PASSWORD_VALIDATORS` configuration setting. As of version 11.7, the password can\u2019t be too similar to other personal information, must contain at least 10 characters, can\u2019t be a commonly used password, and can\u2019t be entirely numeric. As a workaround, an administrator may reset all passwords in Kiwi TCMS if they think a weak password may have been chosen.",
"id": "GSD-2023-22451",
"modified": "2023-12-13T01:20:43.251153Z",
"schema_version": "1.4.0"
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}
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"impact": {
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"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 6.5,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "HIGH",
"integrityImpact": "NONE",
"privilegesRequired": "LOW",
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"exploitabilityScore": 2.8,
"impactScore": 5.9
}
},
"lastModifiedDate": "2023-01-09T18:56Z",
"publishedDate": "2023-01-02T16:15Z"
}
}
}
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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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