GHSA-Q99P-78HP-XG5C
Vulnerability from github – Published: 2022-12-27 15:30 – Updated: 2023-01-10 00:47
VLAI
Summary
Graphite Web Cross-site Scripting vulnerability
Details
A vulnerability was found in Graphite Web and classified as problematic. This issue affects some unknown processing of the component Template Name Handler. The manipulation leads to cross site scripting. The attack may be initiated remotely. The exploit has been disclosed to the public and may be used. The name of the patch is 2f178f490e10efc03cd1d27c72f64ecab224eb23. It is recommended to apply a patch to fix this issue. The associated identifier of this vulnerability is VDB-216743.
Severity
5.4 (Medium)
{
"affected": [
{
"package": {
"ecosystem": "PyPI",
"name": "graphite-web"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"last_affected": "1.1.10"
}
],
"type": "ECOSYSTEM"
}
]
}
],
"aliases": [
"CVE-2022-4729"
],
"database_specific": {
"cwe_ids": [
"CWE-79"
],
"github_reviewed": true,
"github_reviewed_at": "2022-12-30T17:57:32Z",
"nvd_published_at": "2022-12-27T15:15:00Z",
"severity": "MODERATE"
},
"details": "A vulnerability was found in Graphite Web and classified as problematic. This issue affects some unknown processing of the component Template Name Handler. The manipulation leads to cross site scripting. The attack may be initiated remotely. The exploit has been disclosed to the public and may be used. The name of the patch is 2f178f490e10efc03cd1d27c72f64ecab224eb23. It is recommended to apply a patch to fix this issue. The associated identifier of this vulnerability is VDB-216743.",
"id": "GHSA-q99p-78hp-xg5c",
"modified": "2023-01-10T00:47:19Z",
"published": "2022-12-27T15:30:19Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2022-4729"
},
{
"type": "WEB",
"url": "https://github.com/graphite-project/graphite-web/issues/2745"
},
{
"type": "WEB",
"url": "https://github.com/graphite-project/graphite-web/pull/2785"
},
{
"type": "WEB",
"url": "https://github.com/graphite-project/graphite-web/commit/2f178f490e10efc03cd1d27c72f64ecab224eb23"
},
{
"type": "PACKAGE",
"url": "https://github.com/graphite-project/graphite-web"
},
{
"type": "WEB",
"url": "https://vuldb.com/?id.216743"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:C/C:L/I:L/A:N",
"type": "CVSS_V3"
}
],
"summary": "Graphite Web Cross-site Scripting vulnerability"
}
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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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