Oracle PeopleSoft Enterprise FIN Staffing Front Office 9.2
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 5.3 | $5k-$25k | 0.00- |
Summary
A vulnerability, which was classified as problematic, has been found in Oracle PeopleSoft Enterprise FIN Staffing Front Office 9.2. This issue affects some unknown processing of the component Staffing Front Office. Performing a manipulation results in an unknown weakness. This vulnerability is reported as CVE-2026-60593. The attack is possible to be carried out remotely. No exploit exists.
Details
A vulnerability classified as problematic has been found in Oracle PeopleSoft Enterprise FIN Staffing Front Office 9.2. This affects an unknown functionality of the component Staffing Front Office. This is going to have an impact on integrity. The summary by CVE is:
Vulnerability in the PeopleSoft Enterprise FIN Staffing Front Office product of Oracle PeopleSoft (component: Staffing Front Office). The supported version that is affected is 9.2. Easily exploitable vulnerability allows unauthenticated attacker with network access via HTTP to compromise PeopleSoft Enterprise FIN Staffing Front Office. Successful attacks of this vulnerability can result in unauthorized creation, deletion or modification access to critical data or all PeopleSoft Enterprise FIN Staffing Front Office accessible data. CVSS 3.1 Base Score 7.5 (Integrity impacts). CVSS Vector: (CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:H/A:N).
It is possible to read the advisory at oracle.com. This vulnerability is uniquely identified as CVE-2026-60593 since 07/08/2026. The exploitability is told to be easy. It is possible to initiate the attack remotely. No form of authentication is needed for exploitation. The technical details are unknown and an exploit is not publicly available. The pricing for an exploit might be around USD $5k-$25k at the moment (estimation calculated on 07/22/2026).
There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Type
Vendor
Name
Version
License
Website
- Vendor: https://www.oracle.com
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔒VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 5.3VulDB Meta Temp Score: 5.3
VulDB Base Score: 5.3
VulDB Temp Score: 5.3
VulDB Vector: 🔒
VulDB Reliability: 🔍
CVSSv2
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| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍
Exploiting
Class: UnknownCWE: Unknown
CAPEC: 🔒
ATT&CK: 🔒
Physical: No
Local: No
Remote: Yes
Availability: 🔒
Status: Not defined
Price Prediction: 🔍
Current Price Estimation: 🔒
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Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔒
Timeline
07/08/2026 CVE reserved07/22/2026 Advisory disclosed
07/22/2026 VulDB entry created
07/22/2026 VulDB entry last update
Sources
Vendor: oracle.comAdvisory: oracle.com
Status: Confirmed
CVE: CVE-2026-60593 (🔒)
GCVE (CVE): GCVE-0-2026-60593
GCVE (VulDB): GCVE-100-381627
Entry
Created: 07/22/2026 04:31Changes: 07/22/2026 04:31 (52)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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