Raw vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:HSummary
CVE-2026-53753 is a critical-severity Code Injection (CWE-94) vulnerability in Kidocode Crawl4Ai. Its CVSS base score is 9.8 (Critical).
Operationally, exploitation aligns with the MITRE ATT&CK technique Reflective Code Loading (T1620); ranked at the 46th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.
This vulnerability is AI-related — categorised as Other AI Platforms.
The strongest mitigations our analysis identified map to AC-3 (Access Enforcement) and AC-6 (Least Privilege) — see the control section below for these in your framework.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2026-38569
Vulnerability Data
Crawl4AI is an open-source LLM friendly web crawler & scraper. Prior to 0.8.7, the _safe_eval_expression() function in the computed fields feature uses an AST validator that only blocks attributes starting with underscore. Python generator and frame object attributes (gi_frame, f_back,…
more
f_builtins) do NOT start with underscore, enabling a complete sandbox escape to achieve arbitrary code execution. The attack requires no authentication (JWT disabled by default) and is triggered via POST /crawl with a crafted extraction schema. This vulnerability is fixed in 0.8.7.
- CWE(s)
AI Security AnalysisAI
- AI Category
- Other AI Platforms
- Risk Domain
- N/A
- OWASP Top 10 for LLMs 2025
- None mapped
- Classification Reason
- Matched keywords: llm
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Control response
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- 2 hardening rules · 2 OS baselines
V1.3.1
Mitigating Controls (NIST 800-53 r5) AI
Access enforcement directly stops unauthorized reads/writes to dynamic code resources by applying authorization checks at access time.
Least privilege reduces the set of subjects that can reach or modify dynamic code resources, limiting the weakness's reach.
Developer testing and evaluation finds code paths that accept and execute externally influenced strings.
Input validation directly stops untrusted data from being used to construct executable code without neutralization.
Requiring documented secure development standards and tools enforces use of safe code-generation APIs and escaping.
Isolating security functions from non-security code prevents unintended manipulation of dynamically managed executable resources.
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 explicitly include controls that prevent improper handling of dynamic code resources.
Blocking unauthorized code execution directly limits the ability to abuse dynamically-managed resources.
Runtime-environment monitoring can detect exploitation of the weakness but does not prevent it.
Vulnerability identification can surface instances of CWE-913 but does not mitigate the root weakness.
Hardened configuration baselines can restrict dynamic code execution and variable access at runtime.
PR.DS-10 protects runtime data confidentiality/integrity but has no bearing on neutralizing externally influenced input during code generation, so neither direction shows any preventive effect.
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 dynamic code weaknesses but does not prevent them at design or coding time.
Secure development lifecycle mandates controls on dynamic code generation and resource management.
Application security requirements explicitly address restrictions on dynamic code execution and resource access.
Secure architecture principles require design controls that prevent improper dynamic code resource manipulation.
Banning unapproved code samples and unauthenticated web services, combined with secure-coding standards and SAST, prevents the dynamic generation or inclusion of attacker-supplied code.
Environment separation reduces exposure of dynamic code resources but does not address the underlying weakness.
Hardening callouts derived
Configuration rules from DISA STIG baselines that bear on weaknesses of the type cited by this CVE. Each rule is shown with the relationship its mapping actually records, against the CWE it was authored against. Derived via CVE→CWE over `controls_xwalks` (authoritative rows only; rows rated `none` are excluded).
Windows 10 (1 rule)
- V-220726 Data Execution Prevention (DEP) must be configured to at least OptOut. prevents CWE-913
Windows 11 (1 rule)
- V-253283 Data Execution Prevention (DEP) must be configured to at least OptOut. prevents CWE-913