GSD-2014-0473
Vulnerability from gsd - Updated: 2023-12-13 01:22Details
The caching framework in Django before 1.4.11, 1.5.x before 1.5.6, 1.6.x before 1.6.3, and 1.7.x before 1.7 beta 2 reuses a cached CSRF token for all anonymous users, which allows remote attackers to bypass CSRF protections by reading the CSRF cookie for anonymous users.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2014-0473",
"description": "The caching framework in Django before 1.4.11, 1.5.x before 1.5.6, 1.6.x before 1.6.3, and 1.7.x before 1.7 beta 2 reuses a cached CSRF token for all anonymous users, which allows remote attackers to bypass CSRF protections by reading the CSRF cookie for anonymous users.",
"id": "GSD-2014-0473",
"references": [
"https://www.suse.com/security/cve/CVE-2014-0473.html",
"https://www.debian.org/security/2014/dsa-2934",
"https://access.redhat.com/errata/RHSA-2014:0457",
"https://access.redhat.com/errata/RHSA-2014:0456",
"https://ubuntu.com/security/CVE-2014-0473",
"https://advisories.mageia.org/CVE-2014-0473.html"
]
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
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],
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"id": "GSD-2014-0473",
"modified": "2023-12-13T01:22:44.079516Z",
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{
"affected_range": "\u003e=1.4,\u003c1.4.11||\u003e=1.5,\u003c1.5.6||\u003e=1.6,\u003c1.6.3",
"affected_versions": "All versions starting from 1.4 before 1.4.11, all versions starting from 1.5 before 1.5.6, all versions starting from 1.6 before 1.6.3",
"credit": "Paul McMillan",
"cvss_v2": "AV:N/AC:L/Au:N/C:P/I:N/A:N",
"cwe_ids": [
"CWE-1035",
"CWE-264",
"CWE-937"
],
"date": "2017-01-06",
"description": "Django incorrectly cache certain pages that contain CSRF cookies. An attacker can possibly use this flaw to obtain a valid cookie and perform attacks which bypass the CSRF restrictions.",
"fixed_versions": [
"1.4.11",
"1.5.6",
"1.6.3"
],
"identifier": "CVE-2014-0473",
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"package_slug": "pypi/Django",
"pubdate": "2014-04-23",
"solution": "Upgrade to latest",
"title": "Caching of anonymous pages could reveal CSRF token",
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"lastModifiedDate": "2017-01-07T02:59Z",
"publishedDate": "2014-04-23T15:55Z"
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}
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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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