CVE-2024-29149 (GCVE-0-2024-29149)
Vulnerability from cvelistv5 – Published: 2024-05-07 00:00 – Updated: 2024-08-02 01:10
VLAI
EPSS
VEX
Summary
An issue was discovered in Alcatel-Lucent ALE NOE deskphones through 86x8_NOE-R300.1.40.12.4180 and SIP deskphones through 86x8_SIP-R200.1.01.10.728. Because of a time-of-check time-of-use vulnerability, an authenticated attacker is able to replace the verified firmware image with malicious firmware during the update process.
Severity
7.4 (High)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-05-07 19:22 UTC
CWE
- n/a
- CWE-367 - Time-of-check Time-of-use (TOCTOU) Race Condition
Assigner
References
Impacted products
7 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| alcatel-lucent | ale_300 |
Affected:
-
cpe:2.3:o:alcatel-lucent:ale_300:-:*:*:*:*:*:*:* |
||
| alcatel-lucent | ale_400 |
Affected:
-
cpe:2.3:o:alcatel-lucent:ale_400:-:*:*:*:*:*:*:* |
||
| alcatel-lucent | ale_500 |
Affected:
-
cpe:2.3:o:alcatel-lucent:ale_500:-:*:*:*:*:*:*:* |
||
| alcatel-lucent | ale_20 |
Affected:
-
cpe:2.3:o:alcatel-lucent:ale_20:-:*:*:*:*:*:*:* |
||
| alcatel-lucent | ale_30 |
Affected:
-
cpe:2.3:o:alcatel-lucent:ale_30:-:*:*:*:*:*:*:* |
||
| alcatel-lucent | ale_20h |
Affected:
-
cpe:2.3:o:alcatel-lucent:ale_20h:-:*:*:*:*:*:*:* |
||
| alcatel-lucent | ale_30h |
Affected:
-
cpe:2.3:o:alcatel-lucent:ale_30h:-:*:*:*:*:*:*:* |
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}
],
"providerMetadata": {
"dateUpdated": "2024-05-07T16:52:36.258Z",
"orgId": "8254265b-2729-46b6-b9e3-3dfca2d5bfca",
"shortName": "mitre"
},
"references": [
{
"url": "https://www.syss.de/fileadmin/dokumente/Publikationen/Advisories/SYSS-2024-010.txt"
},
{
"url": "https://www.al-enterprise.com/-/media/assets/internet/documents/n-to-s/sa-c0071-ed01.pdf"
}
]
}
},
"cveMetadata": {
"assignerOrgId": "8254265b-2729-46b6-b9e3-3dfca2d5bfca",
"assignerShortName": "mitre",
"cveId": "CVE-2024-29149",
"datePublished": "2024-05-07T00:00:00.000Z",
"dateReserved": "2024-03-18T00:00:00.000Z",
"dateUpdated": "2024-08-02T01:10:53.864Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.1"
}
}
}
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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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