CVE-2018-0691 (GCVE-0-2018-0691)
Vulnerability from cvelistv5 – Published: 2018-11-15 15:00 – Updated: 2024-08-05 03:35
VLAI
EPSS
VEX
Summary
Multiple +Message Apps (Softbank +Message App for Android prior to version 10.1.7, Softbank +Message App for iOS prior to version 1.1.23, NTT DOCOMO +Message App for Android prior to version 42.40.2800, NTT DOCOMO +Message App for iOS prior to version 1.1.23, KDDI +Message App for Android prior to version 1.0.6, and KDDI +Message App for iOS prior to version 1.1.23) do not verify X.509 certificates from SSL servers, which allows man-in-the-middle attackers to spoof servers and obtain sensitive information via a crafted certificate.
Severity
5.9 (Medium)
CWE
- Fails to verify SSL certificates
Assigner
References
4 references
| URL | Tags |
|---|---|
| https://www.au.com/information/notice_mobile/serv… | x_refsource_MISC |
| https://www.softbank.jp/mobile/info/personal/news… | x_refsource_MISC |
| http://jvn.jp/en/jp/JVN37288228/index.html | third-party-advisoryx_refsource_JVN |
| https://www.nttdocomo.co.jp/info/notice/page/1809… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Softbank, NTT docomo, KDDI | Multiple +Message Apps (Softbank +Message App for Android prior to version 10.1.7, Softbank +Message App for iOS prior to version 1.1.23, NTT DOCOMO +Message App for Android prior to version 42.40.2800, NTT DOCOMO +Message App for iOS prior to version 1.1.23, KDDI +Message App for Android prior to version 1.0.6, and KDDI +Message App for iOS prior to version 1.1.23) |
Affected:
Softbank +Message App for Android prior to version 10.1.7, Softbank +Message App for iOS prior to version 1.1.23, NTT DOCOMO +Message App for Android prior to version 42.40.2800, NTT DOCOMO +Message App for iOS prior to version 1.1.23, KDDI +Message App for Android prior to version 1.0.6, and KDDI +Message App for iOS prior to version 1.1.23
|
guessed |
Date Public
2018-11-15 00:00
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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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