FKIE_CVE-2009-3695
Vulnerability from fkie_nvd - Published: 2009-10-13 10:30 - Updated: 2026-06-16 23:12
Severity
Summary
Algorithmic complexity vulnerability in the forms library in Django 1.0 before 1.0.4 and 1.1 before 1.1.1 allows remote attackers to cause a denial of service (CPU consumption) via a crafted (1) EmailField (email address) or (2) URLField (URL) that triggers a large amount of backtracking in a regular expression.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| djangoproject | django | 1.0 | |
| djangoproject | django | 1.1 |
{
"affected": [
{
"affectedData": [
{
"product": "n/a",
"vendor": "n/a",
"versions": [
{
"status": "affected",
"version": "n/a"
}
]
}
],
"source": "cve@mitre.org"
}
],
"configurations": [
{
"nodes": [
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"cpeMatch": [
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"criteria": "cpe:2.3:a:djangoproject:django:1.0:*:*:*:*:*:*:*",
"matchCriteriaId": "F9023348-07A7-46E8-B45A-CC19563C5961",
"vulnerable": true
},
{
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],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "Algorithmic complexity vulnerability in the forms library in Django 1.0 before 1.0.4 and 1.1 before 1.1.1 allows remote attackers to cause a denial of service (CPU consumption) via a crafted (1) EmailField (email address) or (2) URLField (URL) that triggers a large amount of backtracking in a regular expression."
},
{
"lang": "es",
"value": "Vulnerabilidad de complejidad algor\u00edtmica en la forma library en Django v1.0 anterior v1.0.4 y v1.1 anterior v1.1.1 permite a atacantes remotos causar una denegaci\u00f3n de servicio (consumo CPU( a trav\u00e9s de (1) EmailField (direcci\u00f3n email) o (2) URLField (URL)que provoca una gran cantidad de backtracking (vuelta a atr\u00e1s) en una expresi\u00f3n regular."
}
],
"id": "CVE-2009-3695",
"lastModified": "2026-06-16T23:12:10.017",
"metrics": {
"cvssMetricV2": [
{
"acInsufInfo": false,
"baseSeverity": "MEDIUM",
"cvssData": {
"accessComplexity": "LOW",
"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "PARTIAL",
"baseScore": 5.0,
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"vectorString": "AV:N/AC:L/Au:N/C:N/I:N/A:P",
"version": "2.0"
},
"exploitabilityScore": 10.0,
"impactScore": 2.9,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"source": "nvd@nist.gov",
"type": "Primary",
"userInteractionRequired": false
}
]
},
"published": "2009-10-13T10:30:00.767",
"references": [
{
"source": "cve@mitre.org",
"url": "http://bugs.debian.org/cgi-bin/bugreport.cgi?bug=550457"
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{
"source": "cve@mitre.org",
"url": "http://groups.google.com/group/django-users/browse_thread/thread/15df9e45118dfc51/"
},
{
"source": "cve@mitre.org",
"tags": [
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],
"url": "http://secunia.com/advisories/36948"
},
{
"source": "cve@mitre.org",
"tags": [
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],
"url": "http://secunia.com/advisories/36968"
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{
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"url": "http://www.debian.org/security/2009/dsa-1905"
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{
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"url": "http://www.djangoproject.com/weblog/2009/oct/09/security/"
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{
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"url": "http://www.vupen.com/english/advisories/2009/2871"
},
{
"source": "cve@mitre.org",
"url": "https://exchange.xforce.ibmcloud.com/vulnerabilities/53727"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"url": "http://bugs.debian.org/cgi-bin/bugreport.cgi?bug=550457"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"url": "http://groups.google.com/group/django-users/browse_thread/thread/15df9e45118dfc51/"
},
{
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"tags": [
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},
{
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"tags": [
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{
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"url": "http://www.debian.org/security/2009/dsa-1905"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
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"Vendor Advisory"
],
"url": "http://www.djangoproject.com/weblog/2009/oct/09/security/"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"url": "http://www.openwall.com/lists/oss-security/2009/10/13/6"
},
{
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"url": "http://www.vupen.com/english/advisories/2009/2871"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"url": "https://exchange.xforce.ibmcloud.com/vulnerabilities/53727"
}
],
"sourceIdentifier": "cve@mitre.org",
"vulnStatus": "Modified",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "NVD-CWE-Other"
}
],
"source": "nvd@nist.gov",
"type": "Primary"
}
]
}
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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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