GSD-2011-0698
Vulnerability from gsd - Updated: 2023-12-13 01:19Details
Directory traversal vulnerability in Django 1.1.x before 1.1.4 and 1.2.x before 1.2.5 on Windows might allow remote attackers to read or execute files via a / (slash) character in a key in a session cookie, related to session replays.
Aliases
Aliases
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"description": "Directory traversal vulnerability in Django 1.1.x before 1.1.4 and 1.2.x before 1.2.5 on Windows might allow remote attackers to read or execute files via a / (slash) character in a key in a session cookie, related to session replays.",
"id": "GSD-2011-0698"
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"affected_range": "\u003e=1.1.0,\u003c1.1.4||\u003e=1.2.0,\u003c1.2.5",
"affected_versions": "All versions starting from 1.1.0 before 1.1.4, all versions starting from 1.2.0 before 1.2.5",
"cvss_v2": "AV:N/AC:L/Au:N/C:P/I:P/A:P",
"cwe_ids": [
"CWE-1035",
"CWE-22",
"CWE-937"
],
"date": "2021-09-02",
"description": "Directory traversal vulnerability in Django 1.1.x before 1.1.4 and 1.2.x before 1.2.5 on Windows might allow remote attackers to read or execute files via a / character in a key in a session cookie, related to session replays.",
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"package_slug": "pypi/Django",
"pubdate": "2018-07-23",
"solution": "Upgrade to versions 1.1.4, 1.2.5 or above.",
"title": "Improper Limitation of a Pathname to a Restricted Directory ",
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"impact": {
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"cvssV2": {
"accessComplexity": "LOW",
"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "PARTIAL",
"baseScore": 7.5,
"confidentialityImpact": "PARTIAL",
"integrityImpact": "PARTIAL",
"vectorString": "AV:N/AC:L/Au:N/C:P/I:P/A:P",
"version": "2.0"
},
"exploitabilityScore": 10.0,
"impactScore": 6.4,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"severity": "HIGH",
"userInteractionRequired": false
}
},
"lastModifiedDate": "2011-02-23T06:48Z",
"publishedDate": "2011-02-14T21:00Z"
}
}
}
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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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