FKIE_CVE-2024-3049
Vulnerability from fkie_nvd - Published: 2024-06-06 06:15 - Updated: 2026-06-17 07:43
Severity
5.9 (Medium) - CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:H/A:N
5.9 (Medium) - CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:H/A:N
5.9 (Medium) - CVSS:3.1/
Summary
A flaw was found in Booth, a cluster ticket manager. If a specially-crafted hash is passed to gcry_md_get_algo_dlen(), it may allow an invalid HMAC to be accepted by the Booth server.
References
Impacted products
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"cveTags": [],
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},
{
"lang": "es",
"value": "Se encontr\u00f3 una falla en Booth, un administrador de tickets de cl\u00faster. Si se pasa un hash especialmente manipulado a gcry_md_get_algo_dlen(), es posible que el servidor Booth acepte un HMAC no v\u00e1lido."
}
],
"id": "CVE-2024-3049",
"lastModified": "2026-06-17T07:43:12.350",
"metrics": {
"cvssMetricV31": [
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"baseScore": 5.9,
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"confidentialityImpact": "NONE",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
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"userInteraction": "NONE",
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"role": "CISA Coordinator",
"timestamp": "2024-06-13T20:24:04.305850Z",
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"published": "2024-06-06T06:15:09.550",
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}
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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.
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- 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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