BREW-WHISTLE-CVE-2024-55500 (GHSA-GG6X-448Q-PQQM)
Vulnerability from osv_homebrew – Published: 2026-08-13 17:52 – Updated: 2026-09-16 10:51 – Source website
VLAI
Summary
Avenwu Whistle Cross-Site Request Forgery (CSRF)
Details
Cross-Site Request Forgery (CSRF) in Avenwu Whistle v.2.9.90 and before allows attackers to perform malicious API calls, resulting in the execution of arbitrary code on the victim's machine.
Severity
References
{
"affected": [
{
"ecosystem_specific": {
"fix": "bump",
"range_state": "fixed"
},
"package": {
"ecosystem": "Homebrew",
"name": "whistle",
"purl": "pkg:brew/whistle"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "2.10.8"
}
],
"type": "ECOSYSTEM"
}
]
}
],
"database_specific": {
"confidence": "high",
"source": "matched",
"strategy": "registry",
"upstream_evidence": [
{
"ecosystem": "npm",
"key": "pkg:npm/whistle@2.10.10",
"name": "whistle",
"strategy": "registry",
"subject_version": "2.10.10"
}
]
},
"details": "Cross-Site Request Forgery (CSRF) in Avenwu Whistle v.2.9.90 and before allows attackers to perform malicious API calls, resulting in the execution of arbitrary code on the victim\u0027s machine.",
"id": "BREW-whistle-CVE-2024-55500",
"modified": "2026-09-16T10:51:54Z",
"published": "2026-08-13T17:52:09Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2024-55500"
},
{
"type": "WEB",
"url": "https://github.com/avwo/whistle/commit/d1b8ca275dc4e453bd2efed392c0fd4b92f73cdf"
},
{
"type": "PACKAGE",
"url": "https://github.com/avwo/whistle"
},
{
"type": "WEB",
"url": "https://www.sonarsource.com/blog/never-underestimate-csrf-why-origin-reflection-is-a-bad-idea"
}
],
"schema_version": "1.7.3",
"severity": [
{
"score": "CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:P/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N",
"type": "CVSS_V4"
}
],
"summary": "Avenwu Whistle Cross-Site Request Forgery (CSRF)",
"upstream": [
"GHSA-gg6x-448q-pqqm",
"CVE-2024-55500"
]
}
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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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