Vulnerability-Lookup

VAR-201706-0575

Vulnerability from variot - Updated: 2025-04-20 23:42

A vulnerability in the file system of Cisco Elastic Services Controllers could allow an authenticated, local attacker to gain access to sensitive user credentials that are stored in an affected system. More Information: CSCvd73677. Known Affected Releases: 2.3(2). An attacker can exploit this issue to obtain sensitive information that may aid in further attacks. This issue is being tracked by Cisco bug ID CSCvd73677

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CVE-2017-6696 (GCVE-0-2017-6696)

Vulnerability from cvelistv5 – Published: 2017-06-13 06:00 – Updated: 2024-08-05 15:41

Summary

Severity

No CVSS data available.

CWE

Information Disclosure Vulnerability

Assigner

cisco CNA under the mitre root

CNA scorecard C 66/100 over 377 records in the last 180 days details

References

2 references

URL	Tags
https://tools.cisco.com/security/center/content/C…	x_refsource_CONFIRM
http://www.securityfocus.com/bid/98952	vdb-entryx_refsource_BID

Impacted products

1 product

Vendor	Product	Version
n/a	Cisco Elastic Services Controller	Affected: Cisco Elastic Services Controller

Date Public

2017-06-13 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

Sightings and recorded dates, grouped by day · UTC

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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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