VAR-201703-0732
Vulnerability from variot - Updated: 2025-04-20 23:42With OxygenOS before 4.0.3, when a charger is connected to a powered-off OnePlus 3 or 3T device, the platform starts with adbd enabled. Therefore, a malicious charger or a physical attacker can open up, without authorization, an ADB session with the device, in order to further exploit other vulnerabilities and/or exfiltrate sensitive information. OxygenOS Contains an access control vulnerability.Information may be obtained and information may be altered. OnePlus3 and 3T are the smartphones of OnePlus. OxygenOS is its own operating system. There is a security bypass vulnerability in OxygenOS in OnePlus3 and 3T. OnePlus OxygenOS is prone to a local code-execution vulnerability. A local attacker can leverage this issue to execute arbitrary code in the context of affected application. Failed attempts may lead to denial-of-service conditions. Versions prior to OnePlus OxygenOS 4.0.3 are vulnerable
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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.
- 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.
Vulnerability timeline
Sightings and recorded dates, grouped by day · UTC
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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.