CVE-2021-27549 (GCVE-0-2021-27549)
Vulnerability from cvelistv5 – Published: 2021-02-22 16:37 – Updated: 2024-08-03 21:26 Disputed
VLAI
EPSS
VEX
Summary
Genymotion Desktop through 3.2.0 leaks the host's clipboard data to the Android application by default. NOTE: the vendor's position is that this is intended behavior that can be changed through the Settings > Device screen
Severity
5.3 (Medium)
CWE
- n/a
Assigner
References
7 references
| URL | Tags |
|---|---|
| https://github.com/eybisi/misc/tree/main/clipwatch | x_refsource_MISC |
| https://www.genymotion.com/download/ | x_refsource_MISC |
| https://twitter.com/0xabc0/status/1363856804602671104 | x_refsource_MISC |
| https://twitter.com/0xabc0/status/1363855602477387783 | x_refsource_MISC |
| https://twitter.com/0xabc0/status/1363788023956185090 | x_refsource_MISC |
| https://www.youtube.com/watch?v=Tod8Q6sf0P8 | x_refsource_MISC |
| https://docs.genymotion.com/desktop/latest/02_App… | x_refsource_MISC |
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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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