CVE-2020-35138 (GCVE-0-2020-35138)
Vulnerability from cvelistv5 – Published: 2021-03-29 19:36 – Updated: 2024-08-04 16:55 Disputed
VLAI
EPSS
VEX
Summary
The MobileIron agents through 2021-03-22 for Android and iOS contain a hardcoded encryption key, used to encrypt the submission of username/password details during the authentication process, as demonstrated by Mobile@Work (aka com.mobileiron). The key is in the com/mobileiron/common/utils/C4928m.java file. NOTE: It has been asserted that there is no causality or connection between credential encryption and the MiTM attack
Severity
9.8 (Critical)
CWE
- n/a
Assigner
References
5 references
| URL | Tags |
|---|---|
| https://play.google.com/store/apps/details?id=com… | x_refsource_MISC |
| https://www.optiv.com/explore-optiv-insights/sour… | x_refsource_MISC |
| https://github.com/optiv/rustyIron | x_refsource_MISC |
| https://www.ivanti.com/blog/a-warranted-response-… | x_refsource_MISC |
| https://www.optiv.com/insights/source-zero/blog/m… | 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
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- 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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