GSD-2015-5145
Vulnerability from gsd - Updated: 2023-12-13 01:20Details
validators.URLValidator in Django 1.8.x before 1.8.3 allows remote attackers to cause a denial of service (CPU consumption) via unspecified vectors.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2015-5145",
"description": "validators.URLValidator in Django 1.8.x before 1.8.3 allows remote attackers to cause a denial of service (CPU consumption) via unspecified vectors.",
"id": "GSD-2015-5145",
"references": [
"https://www.suse.com/security/cve/CVE-2015-5145.html",
"https://advisories.mageia.org/CVE-2015-5145.html"
]
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
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],
"details": "validators.URLValidator in Django 1.8.x before 1.8.3 allows remote attackers to cause a denial of service (CPU consumption) via unspecified vectors.",
"id": "GSD-2015-5145",
"modified": "2023-12-13T01:20:06.341533Z",
"schema_version": "1.4.0"
}
},
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"name": "GLSA-201510-06",
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"url": "https://security.gentoo.org/glsa/201510-06"
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},
"gitlab.com": {
"advisories": [
{
"affected_range": "\u003e=1.8.0a,\u003c1.8.3||\u003e=1.7.0a,\u003c1.7.9||\u003e=1.4.0a,\u003c1.4.21",
"affected_versions": "All versions starting from 1.8.0a before 1.8.3, all versions starting from 1.7.0a before 1.7.9, all versions starting from 1.4.0a before 1.4.21",
"credit": "Jo\u00e3o Silva and Ross Brunton",
"cvss_v2": "AV:N/AC:L/Au:N/C:N/I:N/A:C",
"cwe_ids": [
"CWE-1035",
"CWE-399",
"CWE-937"
],
"date": "2017-09-21",
"description": "django.core.validators.URLValidator includes a regular expression that was extremely slow to evaluate against certain inputs.",
"fixed_versions": [
"1.4.21",
"1.7.9",
"1.8.3"
],
"identifier": "CVE-2015-5145",
"identifiers": [
"CVE-2015-5145"
],
"package_slug": "pypi/Django",
"pubdate": "2015-07-14",
"solution": "Upgrade to latest or apply patch; see provided link.",
"title": "DOS via URL validation",
"urls": [
"https://www.djangoproject.com/weblog/2015/jul/08/security-releases/"
],
"uuid": "73adccc4-8d26-4146-8c41-0e7698b6c498"
}
]
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},
"impact": {
"baseMetricV2": {
"cvssV2": {
"accessComplexity": "LOW",
"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "COMPLETE",
"baseScore": 7.8,
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"vectorString": "AV:N/AC:L/Au:N/C:N/I:N/A:C",
"version": "2.0"
},
"exploitabilityScore": 10.0,
"impactScore": 6.9,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"severity": "HIGH",
"userInteractionRequired": false
}
},
"lastModifiedDate": "2017-09-22T01:29Z",
"publishedDate": "2015-07-14T17:59Z"
}
}
}
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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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