Vulnerability-Lookup

VAR-201510-0441

Vulnerability from variot - Updated: 2025-04-12 23:28

IniNet embeddedWebServer (aka eWebServer) before 2.02 for Windows CE uses cleartext for password storage, which allows context-dependent attackers to obtain sensitive information via unspecified vectors. IniNet Solutions GmbH is a Swiss company whose product eWebServer is a third-party web-based server software.

IniNet Solutions embeddedWebServer has a plain text preservation vulnerability that could be exploited by an attacker to elevate privileges. IniNet Solutions eWebServer is prone to a local information-disclosure vulnerability. Attackers can exploit this issue to obtain sensitive information such as passwords that may aid in launching further attacks

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CVE-2015-1005 (GCVE-0-2015-1005)

Vulnerability from cvelistv5 – Published: 2015-10-25 01:00 – Updated: 2024-08-06 04:26

Summary

Severity

No CVSS data available.

CWE

Assigner

icscert CNA under the icscert root

CNA scorecard B 75/100 over 345 records in the last 180 days details

References

1 reference

URL	Tags
https://ics-cert.us-cert.gov/advisories/ICSA-15-293-01	x_refsource_MISC

Date Public

2015-10-20 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.
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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