Vulnerability-Lookup

VAR-202003-0598

Vulnerability from variot - Updated: 2024-11-23 21:38

In Auto-Maskin RP210E Versions 3.7 and prior, DCU210E Versions 3.7 and prior and Marine Observer Pro (Android App), the software contains a mechanism for users to recover or change their passwords without knowing the original password, but the mechanism is weak. Auto-Maskin is a set of firmware that controls Norwegian marine diesel engines.

Auto-Maskin RP210E forgets that there is a security vulnerability in the password mechanism. A remote attacker can use this vulnerability to submit a special request to change the password of any user

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CVE-2019-6560 (GCVE-0-2019-6560)

Vulnerability from cvelistv5 – Published: 2020-03-23 19:37 – Updated: 2024-08-04 20:23

Summary

Severity

No CVSS data available.

CWE

CWE-640 - WEAK PASSWORD RECOVERY MECHANISM FOR FORGOTTEN PASSWORD CWE-640

Assigner

icscert CNA under the icscert root

CNA scorecard B 75/100 over 352 records in the last 180 days details

References

1 reference

URL	Tags
https://www.us-cert.gov/ics/advisories/icsa-20-051-04	x_refsource_MISC

Impacted products

1 product

Vendor	Product	Version
n/a	Auto-Maskin RP210E Versions 3.7 and prior DCU210E Versions 3.7 and prior and Marine Observer Pro (Android App)	Affected: Auto-Maskin RP210E Versions 3.7 and prior DCU210E Versions 3.7 and prior and Marine Observer Pro (Android App)

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            "url": "https://www.us-cert.gov/ics/advisories/icsa-20-051-04"
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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

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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.

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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