CVE-2026-105133 (GCVE-0-2026-105133)
Vulnerability from cvelistv5 – Published: 2026-10-04 05:15 – Updated: 2026-10-05 15:31Title
Ahsay AhsayCBS API ApiStructsAction.java checkSysPwd improper authentication
Summary
A vulnerability was detected in Ahsay AhsayCBS up to 10.3.2. This affects the function checkSysPwd of the file com/ahsay/obs/api/ApiStructsAction.java of the component API. Performing a manipulation of the argument random results in improper authentication. It is possible to initiate the attack remotely. The exploit is now public and may be used. Upgrading to version 10.3.4 is able to mitigate this issue. It is recommended to upgrade the affected component.
Severity
SSVC
Exploitation: none
Automatable: yes
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-10-05 15:04 UTC
CWE
- CWE-287 - Improper Authentication
Assigner
References
5 references
| URL | Tags |
|---|---|
| https://vuldb.com/vuln/413350 | vdb-entrytechnical-description |
| https://vuldb.com/vuln/413350/cti | signaturepermissions-required |
| https://vuldb.com/cve/CVE-2026-105133 | third-party-advisory |
| https://vuldb.com/submit/942688 | third-party-advisory |
| https://www.ahsay.com/en/support/help-centre/rele… | patch |
Impacted products
Previdian
Known Exploited Vulnerability - GCVE BCP-07 Compliant
KEV entry ID: b2b7b8c9-bd9b-42a5-9b74-32ea88ff338f
Exploited: Yes
Timestamps
First Seen: 2026-10-09
Asserted: 2026-10-09
Scope
Notes: Ahsay AhsayCBS API ApiStructsAction.java checkSysPwd improper authentication | Affected: Ahsay / AhsayCBS | CVSS: 6.9 (MEDIUM) | EPSS: 0.00383 | Used in malware: unknown | Not yet in CISA KEV: True
Evidence
Type: Public Report
Signal: Successful Exploitation
Confidence: 70%
Source: previdian
Details
| Feed | Previdian (previdian.com) |
|---|---|
| Title | Ahsay AhsayCBS API ApiStructsAction.java checkSysPwd improper authentication |
| Cve Id | CVE-2026-105133 |
| Vendor | Ahsay |
| Ghsa Id | None |
| Product | AhsayCBS |
| Added Date | 2026-10-09T09:53:50.123Z |
| Cvss Score | 6.9 |
| Epss Score | 0.00383 |
| Previous Ids | |
| Cvss Severity | MEDIUM |
| Virtual Patch | False |
| Cvss Estimated | False |
| Epss Percentile | 0.30303 |
| Used In Malware | unknown |
| Vulnerability Id | CVE-2026-105133 |
| Ahead Of Cisa Kev | None |
| Not Yet In Cisa Kev | True |
References
Created: 2026-10-10 10:00 UTC
| Updated: 2026-10-10 10:00 UTC
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
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.
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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.
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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