CVE-2014-4301 (GCVE-0-2014-4301)
Vulnerability from cvelistv5 – Published: 2014-06-18 14:00 – Updated: 2024-08-06 11:12
VLAI
EPSS
VEX
Summary
Multiple cross-site scripting (XSS) vulnerabilities in the respond_error function in routing.py in Eugene Pankov Ajenti before 1.2.21.7 allow remote attackers to inject arbitrary web script or HTML via the PATH_INFO to (1) resources.js or (2) resources.css in ajenti:static/, related to the traceback page.
Severity
No CVSS data available.
CWE
- n/a
Assigner
References
4 references
| URL | Tags |
|---|---|
| https://github.com/Eugeny/ajenti/commit/d3fc5eb14… | x_refsource_CONFIRM |
| http://secunia.com/advisories/59177 | third-party-advisoryx_refsource_SECUNIA |
| https://www.netsparker.com/critical-xss-vulnerabi… | x_refsource_MISC |
| http://www.securityfocus.com/bid/68047 | vdb-entryx_refsource_BID |
Date Public
2014-06-13 00:00
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"url": "http://www.securityfocus.com/bid/68047"
},
{
"source": "cve@mitre.org",
"tags": [
"Exploit",
"Patch"
],
"url": "https://github.com/Eugeny/ajenti/commit/d3fc5eb142ff16d55d158afb050af18d5ff09120"
},
{
"source": "cve@mitre.org",
"tags": [
"Exploit",
"Patch"
],
"url": "https://www.netsparker.com/critical-xss-vulnerabilities-in-ajenti"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Third Party Advisory"
],
"url": "http://secunia.com/advisories/59177"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Third Party Advisory",
"VDB Entry"
],
"url": "http://www.securityfocus.com/bid/68047"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Exploit",
"Patch"
],
"url": "https://github.com/Eugeny/ajenti/commit/d3fc5eb142ff16d55d158afb050af18d5ff09120"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Exploit",
"Patch"
],
"url": "https://www.netsparker.com/critical-xss-vulnerabilities-in-ajenti"
}
],
"sourceIdentifier": "cve@mitre.org",
"vulnStatus": "Modified",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-79"
}
],
"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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