Cyber Resilience

CVE-2025-0755

Memory Safety in Mongodb 7.0.0 – 7.0.16

Published
18 March 2025
Modified
03 November 2025
Patch / advisory
CVSS Score v3.1 8.4
Click a component to see what it means
Raw vectorCVSS:3.1/AV:L/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
EPSS Score 0.0073 51th percentile
Risk Priority 63 floored blend · peak EPSS

Summary

CVE-2025-0755 is a high-severity Heap-based Buffer Overflow (CWE-122) vulnerability in Mongodb Mongodb. Its CVSS base score is 8.4 (High).

Operationally, exploitation aligns with the MITRE ATT&CK technique Exploitation for Privilege Escalation (T1068); ranked in the top 49% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.

The strongest mitigations our analysis identified map to SA-11 (Developer Testing and Evaluation) and SI-10 (Information Input Validation) — see the control section below for these in your framework.

Deeper analysis AI-assisted summary

Synthesised by an AI model from the NVD description and linked references — a reading aid, not an authoritative source.

CVE-2025-0755 is a buffer overflow vulnerability in the bson_append functions of the MongoDB C driver library (libbson). It occurs when operations produce a BSON document exceeding the maximum allowable size of INT32_MAX, triggering a segmentation fault and potential application crash. The issue affects libbson versions prior to 1.27.5, MongoDB Server v8.0 versions prior to 8.0.1, and MongoDB Server v7.0 versions prior to 7.0.16. The vulnerability is classified under CWE-122 (Heap-based Buffer Overflow) with a CVSS v3.1 base score of 8.4 (AV:L/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H).

A local attacker can exploit this vulnerability with low complexity and no privileges or user interaction required. By crafting operations that force the BSON document to exceed INT32_MAX, the attacker triggers the buffer overflow, resulting in a segmentation fault that crashes the affected application. The high impact ratings across confidentiality, integrity, and availability indicate potential for severe disruption, though the primary effect described is denial of service via crash.

Mitigation involves upgrading to patched versions: libbson 1.27.5 or later, MongoDB Server 8.0.1 or later, and MongoDB Server 7.0.16 or later. Official advisories, including MongoDB Jira tickets CDRIVER-5601 and SERVER-94461, detail the fixes, while Debian LTS announcements from May 2025 address backported patches for affected distributions.

EU & UK References

Vulnerability Data

The various bson_append functions in the MongoDB C driver library may be susceptible to buffer overflow when performing operations that could result in a final BSON document which exceeds the maximum allowable size (INT32_MAX), resulting in a segmentation fault and…

more

possible application crash. This issue affected libbson versions prior to 1.27.5, MongoDB Server v8.0 versions prior to 8.0.1 and MongoDB Server v7.0 versions prior to 7.0.16

CWE(s)

Related Threats

MITRE ATT&CK Enterprise Techniques

T1068 Exploitation for Privilege Escalation Privilege Escalation
Adversaries may exploit software vulnerabilities in an attempt to elevate privileges.
T1190 Exploit Public-Facing Application Initial Access
Adversaries may attempt to exploit a weakness in an Internet-facing host or system to initially access a network.
T1203 Exploitation for Client Execution Execution
Adversaries may exploit software vulnerabilities in client applications to execute code.
T1210 Exploitation of Remote Services Lateral Movement
Adversaries may exploit remote services to gain unauthorized access to internal systems once inside of a network.
T1212 Exploitation for Credential Access Credential Access
Adversaries may exploit software vulnerabilities in an attempt to collect credentials.
Derived from this CVE’s CWE(s) via the direct CWE→ATT&CK cross-walk.

CVEs Like This One

CVE-2026-9742Same product: Mongodb Mongodb
CVE-2024-6381Same product: Mongodb Libbson
CVE-2026-8336Same product: Mongodb Mongodb
CVE-2026-4148Same product: Mongodb Mongodb
CVE-2025-7259Same product: Mongodb Mongodb
CVE-2026-8201Same product: Mongodb Mongodb
CVE-2026-13066Same product: Mongodb Mongodb
CVE-2026-6914Same product: Mongodb Mongodb
CVE-2025-6706Same product: Mongodb Mongodb
CVE-2025-11979Same product: Mongodb Mongodb

Affected Assets

mongodb
libbson
≤ 1.27.5
mongodb
mongodb
8.0.0 · 7.0.0 — 7.0.16

Mitigating Controls

Control response

Prevent
Stop it (NIST 800-53)

Detect
Catch it (NIST detect / respond)

Harden
Shrink the surface (DISA STIG)

Validate
Prove the fix (OWASP ASVS)
  • V1.4.1

Mitigating Controls (NIST 800-53 r5) AI

Developer testing and evaluation (including fuzzing and memory-error detectors) can discover heap overflows after they have been coded.

Input validation enforces bounds checking on data written to heap buffers, directly stopping the overflow condition from being introduced.

Security engineering principles require use of memory-safe constructs and bounds-checked allocation routines that avoid introducing heap overflows.

Memory-protection mechanisms limit the ability of a heap overflow to execute attacker-controlled code or corrupt adjacent structures.

Mitigating Controls (NIST CSF 2.0) AI

Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→CSF cross-walk (authority under review) — links open the control.

PR.PS-06 full match
prevents

Secure-development practices directly require bounds checking and safe memory handling that prevent heap overflows.

ID.RA-01 partial match
prevents

Vulnerability scanning and recording can discover heap-overflow flaws but does not prevent their introduction in code.

PR.PS-02 partial match
prevents

Timely patching removes known heap-overflow instances after they exist.

Mitigating Controls (ISO/IEC 27001:2022 Annex A) AI

Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→ISO cross-walk (authority under review) — links open the control.

finds

Security testing in development and acceptance can detect heap overflows before release.

prevents

Secure development lifecycle mandates practices that reduce the likelihood of introducing heap overflows.

prevents

Application security requirements can specify bounds-checking and safe memory APIs that mitigate heap overflows.

prevents

Secure architecture and engineering principles include memory-safety and input-validation controls that address heap overflows.

prevents

Secure coding standards directly prescribe techniques (safe functions, bounds checks) that prevent heap-based buffer overflows.

none

Change management ensures controlled deployment of fixes for discovered heap-overflow vulnerabilities.

References