VAR-201809-1108
Vulnerability from variot - Updated: 2024-11-23 21:52In Snapdragon (Automobile, Mobile, Wear) in version MDM9206, MDM9607, MDM9640, MDM9650, MSM8996AU, QCA6574AU, SD 210/SD 212/SD 205, SD 425, SD 427, SD 430, SD 435, SD 450, SD 615/16/SD 415, SD 625, SD 650/52, SD 820A, SD 835, SD 845, SD 850, SDA660, SDM429, SDM439, SDM630, SDM632, SDM636, SDM660, SDM710, Snapdragon_High_Med_2016, MAC address randomization performed during probe requests (for privacy reasons) is not done properly due to a flawed RNG which produces repeating output much earlier than expected. Snapdragon (Automobile , Mobile , Wear) Contains a cryptographic vulnerability.Information may be tampered with. Qualcomm Closed-Source Components are prone to multiple unspecified vulnerabilities. An attacker can exploit these issues to perform unauthorized actions. This may aid in further attacks. These issues are being tracked by Android Bug IDs A-68326803, A-62213176, A-73539234, A-72950814, A-77484228, A-111090697, A-68326811, A-78240387, A-78239234, A-68326819, A-71501117, A-72950958, A-74236425, A-77484229, A-79419793, A-109677940, A-109677982, A-109677964, A-109678202, A-109678380, A-111091377, A-111090533, A-111093202, A-111090698, A-111093021, and A-111093167. Qualcomm MDM9206, etc. are the central processing unit (CPU) products of Qualcomm (Qualcomm) applied to different platforms. An encryption issue vulnerability exists in several Qualcomm Snapdragon products due to a program that does not properly randomize MAC addresses. Currently there is no information about this vulnerability, please keep an eye on CNNVD or vendor announcements
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"data": "In Snapdragon (Automobile, Mobile, Wear) in version MDM9206, MDM9607, MDM9640, MDM9650, MSM8996AU, QCA6574AU, SD 210/SD 212/SD 205, SD 425, SD 427, SD 430, SD 435, SD 450, SD 615/16/SD 415, SD 625, SD 650/52, SD 820A, SD 835, SD 845, SD 850, SDA660, SDM429, SDM439, SDM630, SDM632, SDM636, SDM660, SDM710, Snapdragon_High_Med_2016, MAC address randomization performed during probe requests (for privacy reasons) is not done properly due to a flawed RNG which produces repeating output much earlier than expected. Snapdragon (Automobile , Mobile , Wear) Contains a cryptographic vulnerability.Information may be tampered with. Qualcomm Closed-Source Components are prone to multiple unspecified vulnerabilities. \nAn attacker can exploit these issues to perform unauthorized actions. This may aid in further attacks. \nThese issues are being tracked by Android Bug IDs A-68326803, A-62213176, A-73539234, A-72950814, A-77484228, A-111090697, A-68326811, A-78240387, A-78239234, A-68326819, A-71501117, A-72950958, A-74236425, A-77484229, A-79419793, A-109677940, A-109677982, A-109677964, A-109678202, A-109678380, A-111091377, A-111090533, A-111093202, A-111090698, A-111093021, and A-111093167. Qualcomm MDM9206, etc. are the central processing unit (CPU) products of Qualcomm (Qualcomm) applied to different platforms. An encryption issue vulnerability exists in several Qualcomm Snapdragon products due to a program that does not properly randomize MAC addresses. Currently there is no information about this vulnerability, please keep an eye on CNNVD or vendor announcements",
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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 |
|---|
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.
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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.