GSD-2023-28116
Vulnerability from gsd - Updated: 2023-12-13 01:20Details
Contiki-NG is an open-source, cross-platform operating system for internet of things (IoT) devices. In versions 4.8 and prior, an out-of-bounds write can occur in the BLE L2CAP module of the Contiki-NG operating system. The network stack of Contiki-NG uses a global buffer (packetbuf) for processing of packets, with the size of PACKETBUF_SIZE. In particular, when using the BLE L2CAP module with the default configuration, the PACKETBUF_SIZE value becomes larger then the actual size of the packetbuf. When large packets are processed by the L2CAP module, a buffer overflow can therefore occur when copying the packet data to the packetbuf. The vulnerability has been patched in the "develop" branch of Contiki-NG, and will be included in release 4.9. The problem can be worked around by applying the patch manually.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2023-28116",
"id": "GSD-2023-28116"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
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"details": "Contiki-NG is an open-source, cross-platform operating system for internet of things (IoT) devices. In versions 4.8 and prior, an out-of-bounds write can occur in the BLE L2CAP module of the Contiki-NG operating system. The network stack of Contiki-NG uses a global buffer (packetbuf) for processing of packets, with the size of PACKETBUF_SIZE. In particular, when using the BLE L2CAP module with the default configuration, the PACKETBUF_SIZE value becomes larger then the actual size of the packetbuf. When large packets are processed by the L2CAP module, a buffer overflow can therefore occur when copying the packet data to the packetbuf. The vulnerability has been patched in the \"develop\" branch of Contiki-NG, and will be included in release 4.9. The problem can be worked around by applying the patch manually.",
"id": "GSD-2023-28116",
"modified": "2023-12-13T01:20:48.066356Z",
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"value": "Contiki-NG is an open-source, cross-platform operating system for internet of things (IoT) devices. In versions 4.8 and prior, an out-of-bounds write can occur in the BLE L2CAP module of the Contiki-NG operating system. The network stack of Contiki-NG uses a global buffer (packetbuf) for processing of packets, with the size of PACKETBUF_SIZE. In particular, when using the BLE L2CAP module with the default configuration, the PACKETBUF_SIZE value becomes larger then the actual size of the packetbuf. When large packets are processed by the L2CAP module, a buffer overflow can therefore occur when copying the packet data to the packetbuf. The vulnerability has been patched in the \"develop\" branch of Contiki-NG, and will be included in release 4.9. The problem can be worked around by applying the patch manually."
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"lastModifiedDate": "2023-03-24T16:40Z",
"publishedDate": "2023-03-17T22:15Z"
}
}
}
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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 |
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Nomenclature
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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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