CVE-2026-61069 (GCVE-0-2026-61069)
Vulnerability from cvelistv5 – Published: 2026-07-21 21:37 – Updated: 2026-07-24 14:16
VLAI
EPSS
VEX
Summary
Vulnerability in the PeopleSoft Enterprise FIN General Ledger Argentina product of Oracle PeopleSoft (component: General Ledger). The supported version that is affected is 9.1. Difficult to exploit vulnerability allows low privileged attacker with network access via HTTP to compromise PeopleSoft Enterprise FIN General Ledger Argentina. Successful attacks of this vulnerability can result in unauthorized creation, deletion or modification access to critical data or all PeopleSoft Enterprise FIN General Ledger Argentina accessible data and unauthorized ability to cause a partial denial of service (partial DOS) of PeopleSoft Enterprise FIN General Ledger Argentina. CVSS 3.1 Base Score 5.9 (Integrity and Availability impacts). CVSS Vector: (CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:U/C:N/I:H/A:L).
Severity
5.9 (Medium)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator (v2.0.3)
CWE
- Difficult to exploit vulnerability allows low privileged attacker with network access via HTTP to compromise PeopleSoft Enterprise FIN General Ledger Argentina. Successful attacks of this vulnerability can result in unauthorized creation, deletion or modification access to critical data or all PeopleSoft Enterprise FIN General Ledger Argentina accessible data and unauthorized ability to cause a partial denial of service (partial DOS) of PeopleSoft Enterprise FIN General Ledger Argentina.
- CWE-284 - Improper Access Control
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://www.oracle.com/security-alerts/cpujul2026.html | vendor-advisory |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| Oracle Corporation | PeopleSoft Enterprise FIN General Ledger Argentina |
Affected:
9.1
(semver)
|
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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.
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