CVE-2026-75987: Deserialization in SPLWare esProc
A deserialization vulnerability exists in SPLWare esProc up to version 20260507 in the ObjectInputStream.readUnshared function within src/main/java/com/scudata/parallel/SocketData.java. This flaw allows remote attackers to perform deserialization manipulations. The vulnerability has a CVSS 3.1 score of 7.3, indicating a medium severity level.
AI Analysis
Technical Summary
CVE-2026-75987 describes a vulnerability in SPLWare esProc up to version 20260507 affecting the ObjectInputStream.readUnshared method in the file src/main/java/com/scudata/parallel/SocketData.java. The issue involves improper handling of deserialization, which can be manipulated remotely. The vulnerability is classified under CWE-20 (Improper Input Validation). No patch or remediation details are provided in the available data.
Potential Impact
Successful exploitation could allow an attacker to manipulate deserialization processes remotely, potentially leading to limited confidentiality, integrity, and availability impacts as indicated by the CVSS vector (C:L/I:L/A:L). No known exploits in the wild have been reported.
Mitigation Recommendations
Patch status is not yet confirmed — check the vendor advisory for current remediation guidance. No official fix or workaround information is provided. Until a patch is available, restrict exposure of the vulnerable service to untrusted networks if possible.
CVE-2026-75987: Deserialization in SPLWare esProc
Description
A deserialization vulnerability exists in SPLWare esProc up to version 20260507 in the ObjectInputStream.readUnshared function within src/main/java/com/scudata/parallel/SocketData.java. This flaw allows remote attackers to perform deserialization manipulations. The vulnerability has a CVSS 3.1 score of 7.3, indicating a medium severity level.
CVSS v4.0
Score 6.9medium
Affected software
Run on your own infrastructure? Check whether these packages are installed with threat-finder — our free open-source scanner.
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
CVE-2026-75987 describes a vulnerability in SPLWare esProc up to version 20260507 affecting the ObjectInputStream.readUnshared method in the file src/main/java/com/scudata/parallel/SocketData.java. The issue involves improper handling of deserialization, which can be manipulated remotely. The vulnerability is classified under CWE-20 (Improper Input Validation). No patch or remediation details are provided in the available data.
Potential Impact
Successful exploitation could allow an attacker to manipulate deserialization processes remotely, potentially leading to limited confidentiality, integrity, and availability impacts as indicated by the CVSS vector (C:L/I:L/A:L). No known exploits in the wild have been reported.
Mitigation Recommendations
Patch status is not yet confirmed — check the vendor advisory for current remediation guidance. No official fix or workaround information is provided. Until a patch is available, restrict exposure of the vulnerable service to untrusted networks if possible.
Technical Details
- Gcve Source
- db.gcve.eu
- Osv Id
- GHSA-3r2x-33h3-cm5q
- Osv Schema Version
- 1.4.0
- Aliases
- ["CVE-2026-75987"]
- Ecosystems
- []
- Database Specific Severity
- MODERATE
- Cvss Version
- 3.1
Threat ID: 6a85b4c5acd9273b4925254d
Added to database: 08/19/2026, 13:51:01 UTC
Last enriched: 08/19/2026, 14:34:53 UTC
Last updated: 08/19/2026, 17:52:19 UTC
Views: 3
Community Reviews
0 reviewsCrowdsource mitigation strategies, share intel context, and vote on the most helpful responses. Sign in to add your voice and help keep defenders ahead.
Want to contribute mitigation steps or threat intel context? Sign in or create an account to join the community discussion.
Actions
Updates to AI analysis require Pro Console access. Upgrade inside Console → Billing.
Need more coverage?
Upgrade to Pro Console for AI refresh and higher limits.
For incident response and remediation, OffSeq services can help resolve threats faster.
Latest Threats
Check if your credentials are on the dark web
Instant breach scanning across billions of leaked records. Free tier available.