Vulnerability-Lookup

VAR-201802-0616

Vulnerability from variot - Updated: 2024-11-23 22:30

An information disclosure vulnerability exists in Schneider Electric's IGSS Mobile application version 3.01 and prior. Passwords are stored in clear text in the configuration which can result in exposure of sensitive information. Schneider Electric IGSS Mobile is a set of mobile application for managing IGSS (Shared Services Platform) by Schneider Electric of France. An attacker could use this vulnerability to obtain sensitive information

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CVE-2017-9969 (GCVE-0-2017-9969)

Vulnerability from cvelistv5 – Published: 2018-02-12 23:00 – Updated: 2024-09-16 20:37

Summary

Severity

No CVSS data available.

CWE

Assigner

schneider CNA under the mitre root

CNA scorecard C 65/100 over 23 records in the last 180 days details

References

3 references

URL	Tags
http://www.securityfocus.com/bid/103046	vdb-entryx_refsource_BID
https://www.schneider-electric.com/en/download/do…	x_refsource_CONFIRM
https://ics-cert.us-cert.gov/advisories/ICSA-18-046-03	x_refsource_MISC

Date Public

2018-02-12 00:00

Show details on NVD website

JSON

To clipboard

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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.
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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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