CVE-2026-88026: MongoDB C# Driver · Improper Neutralization of Special Elements in Data Query Logic
Affects MongoDB C# DriverSource CVE Database V5
Not known to be exploited · CVSS 7.1 High.
Data as of 26 Oct 2026, 12:55 UTC
- EPSS
- 0.3% chance of exploitation in 30 days – higher than 31% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
- CISA SSVC
- Exploitation
- No evidence of active exploitation and no public proof of concept
- Automatable
- Attackers cannot reliably automate steps 1–4 of the kill chain
- Technical impact
- Limited control over the software or limited information exposure
CISA SSVC assessment, 2026-09-10.
CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:H/VI:N/VA:N/SC:N/SI:N/SA:NExploitation evidence
Disclosed: evidence found.
CVE published 10 Sep 2026
Detectable: no evidence on record.
No public nuclei template indexed
Weaponised: no evidence on record.
No public exploit code indexed in Metasploit or Exploit-DB
Exploited in the wildExploited: no evidence on record.
Not in CISA KEV and no source reports exploitation
Observed by OffSeq MirageSeen by Mirage: no evidence on record.
No attack traffic recorded by OffSeq Mirage sensors
A missing step is not evidence of safety. Sources: cve.org (opens in a new tab), the Metasploit, Exploit-DB and nuclei-templates index as of 26 Oct 2026.
What to do
Affected software
| Product | Affected | Fixed in |
|---|---|---|
| MongoDBC# Driver | Affected
| Fixed in– |
AI-suggested
Until a fix is available, applications should carefully validate and sanitize user inputs that influence LINQ queries involving regular expressions to mitigate the risk of predicate manipulation.
Description
CVE-2026-88026 is a vulnerability in the MongoDB C# Driver affecting versions from 2.14.0 up to and including 3.11.1. It involves improper neutralization of special characters in regular expressions within the LINQ query translation component. An authenticated user able to influence certain input can manipulate the regular-expression predicates, potentially causing the application to return more records than intended by the original query filter.