VAR-201906-0051
Vulnerability from variot - Updated: 2023-12-18 13:47Some Huawei 4G LTE devices, P30 versions before ELE-AL00 9.1.0.162(C01E160R1P12/C01E160R2P1) and P30 Pro versions before VOG-AL00 9.1.0.162(C01E160R1P12/C01E160R2P1), are exposed to a message replay vulnerability. For the sake of better compatibility, these devices implement a less strict check on the NAS message sequence number (SN), specifically NAS COUNT. As a result, an attacker can construct a rogue base station and replay the GUTI reallocation command message in certain conditions to tamper with GUTIs, or replay the Identity request message to obtain IMSIs. (Vulnerability ID: HWPSIRT-2019-04107). Vendors have confirmed this vulnerability HWPSIRT-2019-04107 It is released as.Information may be obtained and information may be altered. (NAS COUNT)
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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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