Raw vector
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/SC:H/SI:H/SA:H/E:P/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:XSummary
CVE-2026-32311 is a critical-severity OS Command Injection (CWE-78) vulnerability in Flowsint Flowsint. Its CVSS base score is 9.3 (Critical).
Operationally, exploitation aligns with the MITRE ATT&CK technique Command and Scripting Interpreter (T1059); ranked at the 41th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.
This vulnerability is AI-related — categorised as Other Platforms; in the Other ATLAS/OWASP Terms risk domain.
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-2026-32311 is an OS command injection vulnerability (CWE-78) in Flowsint, an open-source OSINT graph exploration tool for cybersecurity investigations. The issue resides in the 'org_to_asn' transformer, which processes organization nodes within user-created sketches containing graphs of nodes and relationships tied to OSINT targets like usernames and websites. By injecting shell metacharacters, a remote attacker can exploit this to execute arbitrary OS commands as root on the host machine, facilitated by a Docker container escape. The vulnerability carries a CVSS v3.1 base score of 9.8 (AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H) and was published on 2026-04-20.
Any remote attacker can exploit this vulnerability without authentication or user interaction by creating a malicious sketch and triggering the 'org_to_asn' transform on an organization node. Successful exploitation grants full root-level access to the host system, enabling complete compromise including data exfiltration, persistence, or further lateral movement.
The GitHub security advisory (GHSA-9g44-8xv2-f2m9) and fixing commit b52cbbb904c8013b74308d58af88bc7dbb1b055c detail the mitigation, which involves removing the vulnerable code in the 'org_to_asn' transformer implementation. Security practitioners should update Flowsint to at least this commit to prevent exploitation.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2026-23946
Vulnerability Data
Flowsint is an open-source OSINT graph exploration tool designed for cybersecurity investigation, transparency, and verification. Flowsint allows a user to create investigations, which are used to manage sketches and analyses. Sketches have controllable graphs, which are comprised of nodes and…
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relationships. The sketches contain information on an OSINT target (usernames, websites, etc) within these nodes and relationships. The nodes can have automated processes execute on them called 'transformers'. A remote attacker can create a sketch, then trigger the 'org_to_asn' transform on an organization node to execute arbitrary OS commands as root on the host machine via shell metacharacters and a docker container escape. Commit b52cbbb904c8013b74308d58af88bc7dbb1b055c appears to remove the code that causes this issue.
- CWE(s)
AI Security AnalysisAI
- AI Category
- Other Platforms
- Risk Domain
- Other ATLAS/OWASP Terms
- OWASP Top 10 for LLMs 2025
- None mapped
- Classification Reason
- Matched keywords: transformers
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Control response
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V1.2.5V1.2.8V15.2.5
Mitigating Controls (NIST 800-53 r5) AI
Developer testing and evaluation can discover missing or incorrect command sanitization during development.
Input validation directly neutralizes or rejects special characters that would otherwise alter OS command structure.
Least privilege reduces the permissions available to any process that could be subverted by injected commands.
Least functionality restricts available OS commands and interpreters, limiting the blast radius of injection.
Secure engineering principles require proper neutralization of untrusted input before command construction.
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's SDLC practices directly require secure coding and input handling that blocks command-injection defects, yet the single broad outcome leaves many specific neutralization vectors and verification gaps unaddressed.
Routine patching/maintenance can remediate known command-injection CVEs in dependencies (partial forward) but does nothing to stop developers from introducing improper neutralization in custom code (none reverse).
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 and code review target insecure use of operating-system command interfaces, catching command-injection flaws introduced during development.