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VAR-202403-3007

Vulnerability from variot - Updated: 2024-04-18 13:29

IBM Security Verify Access 10.0.6 could disclose sensitive snapshot information due to missing encryption. IBM X-Force ID: 281607

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CVE-2024-25027 (GCVE-0-2024-25027)

Vulnerability from cvelistv5 – Published: 2024-03-31 11:40 – Updated: 2025-11-03 21:53

Title

IBM Security Verify Access Container information disclosure

Summary

IBM Security Verify Access 10.0.6 could disclose sensitive snapshot information due to missing encryption. IBM X-Force ID: 281607.

Severity

6.2 (Medium)


                        
                          CVSS:3.1/AV:L/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N

SSVC

Exploitation: none Automatable: no Technical Impact: partial

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2024-07-01 16:45 UTC

CWE

CWE-311 - Missing Encryption of Sensitive Data

Assigner

ibm mitre root

References

3 references

URL	Tags
https://www.ibm.com/support/pages/node/7145400	vendor-advisory
https://exchange.xforce.ibmcloud.com/vulnerabilit…
http://seclists.org/fulldisclosure/2024/Nov/0

Impacted products

1 product

Vendor	Product	Version
IBM	Security Verify Access Docker	Affected: 10.0.6

Show details on NVD website

JSON

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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.

Detection rules are retrieved from Rulezet.

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.