CVE-2025-27703 (GCVE-0-2025-27703)
Vulnerability from cvelistv5 – Published: 2025-05-28 20:56 – Updated: 2025-05-28 23:57
VLAI
EPSS
VEX
Title
Privilege escalation in the management console of Absolute Secure Access prior to version 13.54
Summary
CVE-2025-27703 is a privilege escalation vulnerability in the management
console of Absolute Secure Access prior to version 13.54. Attackers
with administrative access to a specific subset of privileged features
in the console can elevate their permissions to access additional
features in the console. The attack complexity is low, there are no
preexisting attack requirements; the privileges required are high, and
there is no user interaction required. The impact to system
confidentiality is low, the impact to system integrity is high and the
impact to system availability is low.
Severity
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-05-28 23:55 UTC
CWE
- CWE-281 - Improper Preservation of Permissions
Assigner
References
1 reference
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Absolute Security | Secure Access |
Affected:
0 , < 13.54
(Server)
|
guessed |
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Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
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Vulnerability timeline
Sightings and recorded dates, grouped by day · UTC
How durations are calculated
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vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
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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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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.
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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.