CVE-2025-1693
Mongodb Mongosh ≤ 2.3.9
Raw vector
CVSS:3.1/AV:N/AC:H/PR:H/UI:R/S:U/C:L/I:L/A:LCVSS and EPSS are reproduced from their sources (NVD, FIRST EPSS). Risk Priority is our own derived reading, not an NVD score.
Summary
CVE-2025-1693 is a low-severity Improper Neutralization of Escape, Meta, or Control Sequences (CWE-150) vulnerability in Mongodb Mongosh. Its CVSS base score is 3.9 (Low).
Operationally, exploitation aligns with the MITRE ATT&CK technique Content Injection (T1659); ranked at the 10th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.
The strongest mitigations our analysis identified map to SI-10 (Information Input Validation) — see the control section below for these in your framework.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2025-5464
Vulnerability Data
The MongoDB Shell may be susceptible to control character injection where an attacker with control over the database cluster contents can inject control characters into the shell output. This may result in the display of falsified messages that appear to…
more
originate from mongosh or the underlying operating system, potentially misleading users into executing unsafe actions. The vulnerability is exploitable only when mongosh is connected to a cluster that is partially or fully controlled by an attacker. This issue affects mongosh versions prior to 2.3.9
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Control response
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V1.2.10V1.3.12
Mitigating Controls (NIST 800-53 r5) AI
SI-10 requires validation/sanitization of inputs that directly stops escape/meta/control sequences from reaching downstream components.
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.
Secure SDLC practices directly require input neutralization and escaping to prevent this class of flaw.
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.
Security testing can detect the weakness but does not itself implement neutralization.
Secure development lifecycle mandates input validation and output encoding that directly neutralizes escape/meta sequences.
Application security requirements explicitly call for controls against injection and malformed input sequences.
Secure architecture principles reduce attack surface but do not prescribe specific neutralization techniques.
Secure coding standards require proper escaping and neutralization of control characters before downstream processing.