CVE-2024-45038 (GCVE-0-2024-45038)
Vulnerability from cvelistv5 – Published: 2024-08-27 20:36 – Updated: 2024-08-28 14:00
VLAI
EPSS
VEX
Title
Device crash via malformed MQTT packet when downlink is enabled in Meshtastic device firmware
Summary
Meshtastic device firmware is a firmware for meshtastic devices to run an open source, off-grid, decentralized, mesh network built to run on affordable, low-power devices. Meshtastic device firmware is subject to a denial of serivce vulnerability in MQTT handling, fixed in version 2.4.1 of the Meshtastic firmware and on the Meshtastic public MQTT Broker. It's strongly suggested that all users of Meshtastic, particularly those that connect to a privately hosted MQTT server, update to this or a more recent stable version right away. There are no known workarounds for this vulnerability.
Severity
7.5 (High)
SSVC
Exploitation: none
Automatable: yes
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-08-28 13:58 UTC
CWE
- CWE-755 - Improper Handling of Exceptional Conditions
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://github.com/meshtastic/firmware/security/a… | x_refsource_CONFIRM |
Impacted products
2 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| meshtastic | firmware |
Affected:
< 2.4.1
|
guessed | |
| meshtastic | firmware |
Affected:
0 , < 2.4.1
(custom)
cpe:2.3:a:meshtastic:firmware:*:*:*:*:*:*:*:* |
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}
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Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
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Vulnerability timeline
Sightings and recorded dates, grouped by day · UTC
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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.
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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.