CVE-2026-13076 Details
An authenticated user can cause a {{mongod}} process to be terminated by the operating system under memory pressure by performing a specific data type conversion operation within MongoDB's aggregation framework. The behavior stems from disproportionate memory consumption during this operation, and requires both write access to the database and the ability to run aggregation queries.
View at NVD
Exploit prediction scoring system (EPSS) score for CVE-2026-13076
EPSS (Exploit Prediction Scoring System): EPSS predicts the likelihood that a vulnerability will be exploited in the wild. A higher percentage means a greater chance of an exploit occurring. The EPSS model produces a probability score between 0 and 1 (0 and 100%).
0.42 Probability of exploitation activity being observed over the next 30 days (35th percentile)
CVSS score for CVE-2026-13076
CVSS (Common Vulnerability Scoring System): An open framework owned and managed by FIRST.Org, Inc. that assigns a numerical score from 0 to 10 to software vulnerabilities to indicate their severity.
6.5 Medium
Products affected by CVE-2026-13076
MongoDB 8.3.1
MongoDB 8.3.2
MongoDB 8.3.0
MongoDB 8.3.4
DVE Score by Bitsight AI
DVE scores complement traditional static scoring systems like CVSS with Bitsight AI powered real-time threat intelligence and underground cyber criminal activity so that security teams can reduce alert fatigue and focus on vulnerabilities most likely to be exploited.
Low
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CVE-2026-13076 Global Footprint

Top 10 Identified Countries

Country Observations Percentage
CN 3 21.43%
US 2 14.29%
AU 1 7.14%
DE 1 7.14%
FI 1 7.14%
KE 1 7.14%
NL 1 7.14%
RU 1 7.14%
SE 1 7.14%
SG 1 7.14%

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CVE-2026-13076 Industry Footprint

Top 10 Identified Industries

*Service provider organizations (typically Technology and Telecommunications) are disproportionally represented in the results given their upstream ownership of end-user infrastructure. See our FAQs.

Industry* Observations Percentage
Technology 9 75.00%
Telecommunications 3 25.00%

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