FKIE_CVE-2007-2292
Vulnerability from fkie_nvd - Published: 2007-04-26 20:19 - Updated: 2026-06-16 22:39
Severity
Summary
CRLF injection vulnerability in the Digest Authentication support for Mozilla Firefox before 2.0.0.8 and SeaMonkey before 1.1.5 allows remote attackers to conduct HTTP request splitting attacks via LF (%0a) bytes in the username attribute.
References
{
"affected": [
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"affectedData": [
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"vendor": "n/a",
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"version": "n/a"
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"configurations": [
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"nodes": [
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"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "CRLF injection vulnerability in the Digest Authentication support for Mozilla Firefox before 2.0.0.8 and SeaMonkey before 1.1.5 allows remote attackers to conduct HTTP request splitting attacks via LF (%0a) bytes in the username attribute."
},
{
"lang": "es",
"value": "Una vulnerabilidad de inyecci\u00f3n CRLF en el soporte Digest Authentication para Mozilla Firefox anterior a la versi\u00f3n 2.0.0.8 y SeaMonkey anterior a la versi\u00f3n 1.1.5 permite a los atacantes remotos realizar ataques de divisi\u00f3n de peticiones HTTP por medio de LF (% 0a) bytes en el atributo de nombre de usuario."
}
],
"id": "CVE-2007-2292",
"lastModified": "2026-06-16T22:39:18.227",
"metrics": {
"cvssMetricV2": [
{
"acInsufInfo": false,
"baseSeverity": "MEDIUM",
"cvssData": {
"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,
"source": "nvd@nist.gov",
"type": "Primary",
"userInteractionRequired": true
}
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},
"published": "2007-04-26T20:19:00.000",
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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.
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- 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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