CVE-2026-61209 (GCVE-0-2026-61209)
Vulnerability from cvelistv5 – Published: 2026-07-21 21:38 – Updated: 2026-07-22 18:25
VLAI
EPSS
VEX
Summary
Vulnerability in the PeopleSoft In-Memory Project Discovery product of Oracle PeopleSoft (component: Project Discovery). The supported version that is affected is 9.2. Easily exploitable vulnerability allows low privileged attacker with network access via HTTP to compromise PeopleSoft In-Memory Project Discovery. While the vulnerability is in PeopleSoft In-Memory Project Discovery, attacks may significantly impact additional products (scope change). Successful attacks of this vulnerability can result in takeover of PeopleSoft In-Memory Project Discovery. CVSS 3.1 Base Score 9.9 (Confidentiality, Integrity and Availability impacts). CVSS Vector: (CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:H/A:H).
Severity
9.9 (Critical)
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-07-22 18:25 UTC
CWE
- Easily exploitable vulnerability allows low privileged attacker with network access via HTTP to compromise PeopleSoft In-Memory Project Discovery. While the vulnerability is in PeopleSoft In-Memory Project Discovery, attacks may significantly impact additional products (scope change). Successful attacks of this vulnerability can result in takeover of PeopleSoft In-Memory Project Discovery.
- CWE-269 - Improper Privilege Management
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://www.oracle.com/security-alerts/cpujul2026.html | vendor-advisory |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Oracle Corporation | PeopleSoft In-Memory Project Discovery |
Affected:
9.2
(semver)
cpe:2.3:a:oracle:peoplesoft_in-memory_project_discovery:9.2:*:*:*:*:*:*:* |
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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
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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.
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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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