GSD-2014-3994
Vulnerability from gsd - Updated: 2023-12-13 01:22Details
Cross-site scripting (XSS) vulnerability in util/templatetags/djblets_js.py in Djblets before 0.7.30 and 0.8.x before 0.8.3 for Django, as used in Review Board, allows remote attackers to inject arbitrary web script or HTML via a JSON object, as demonstrated by the name field when changing a user name.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2014-3994",
"description": "Cross-site scripting (XSS) vulnerability in util/templatetags/djblets_js.py in Djblets before 0.7.30 and 0.8.x before 0.8.3 for Django, as used in Review Board, allows remote attackers to inject arbitrary web script or HTML via a JSON object, as demonstrated by the name field when changing a user name.",
"id": "GSD-2014-3994",
"references": [
"https://advisories.mageia.org/CVE-2014-3994.html"
]
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
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"id": "GSD-2014-3994",
"modified": "2023-12-13T01:22:53.197367Z",
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"affected_range": "\u003c0.7.30||\u003e0.8.0,\u003c0.8.3",
"affected_versions": "All versions before 0.7.30, all versions after 0.8.0 before 0.8.3",
"credit": "uchida",
"cvss_v2": "AV:N/AC:M/Au:N/C:N/I:P/A:N",
"cwe_ids": [
"CWE-1035",
"CWE-79",
"CWE-937"
],
"date": "2016-08-23",
"description": "Django\u0027s JSON serialization does not handle escaping of any characters to make them safe for injecting into HTML. This allows an attacker who can provide part of a JSON-serializable object to craft a string that can break out of a \u003cscript\u003e tag and create its own, injecting a custom script.",
"fixed_versions": [
"0.7.30",
"0.8.3"
],
"identifier": "CVE-2014-3994",
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"package_slug": "pypi/Djblets",
"pubdate": "2014-06-16",
"solution": "Upgrade to versions 0.7.30, 0.8.3 or above.",
"title": "XSS Vulnerability in Djblets json_dumps()",
"urls": [
"https://github.com/djblets/djblets/blob/master/NEWS"
],
"uuid": "a2612fef-5814-4911-b0e0-9152cfa02c8b"
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"impact": {
"baseMetricV2": {
"cvssV2": {
"accessComplexity": "MEDIUM",
"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "NONE",
"baseScore": 4.3,
"confidentialityImpact": "NONE",
"integrityImpact": "PARTIAL",
"vectorString": "AV:N/AC:M/Au:N/C:N/I:P/A:N",
"version": "2.0"
},
"exploitabilityScore": 8.6,
"impactScore": 2.9,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"severity": "MEDIUM",
"userInteractionRequired": true
}
},
"lastModifiedDate": "2016-08-23T14:49Z",
"publishedDate": "2014-06-16T18:55Z"
}
}
}
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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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