Crawl4AI: AST Sandbox Escape via gi_frame.f_back Chain - Pre-Auth RCE in Docker API
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, 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.
An attacker sends a POST /crawl request with a JsonCssExtractionStrategy schema containing a malicious computed field expression that:
1. Creates a generator to access gi_frame
2. Walks the frame chain via f_back
3. Reaches f_builtins containing the real __import__
4. Imports os and executes arbitrary commands
Unauthenticated remote code execution inside the Docker container. An attacker can execute arbitrary system commands, read/write files, and exfiltrate secrets.
1. Removed eval() from computed field expression path entirely -- expressions now log a warning and return default value
2. Deleted _safe_eval_expression() function and _SAFE_EVAL_BUILTINS (dead security-sensitive code)
3. function key with Python callables still works for SDK users
4. Replaced eval() in /config/dump with JSON-based input validated by Pydantic
5. Fixed hook_manager sandbox: stripped __builtins__, __loader__, __spec__ from injected modules; removed getattr, setattr, type, __build_class__ from allowed builtins
1. Upgrade to the patched version (recommended)
2. Enable JWT authentication via CRAWL4AI_API_TOKEN environment variable
3. Restrict network access to the Docker API
__builtins__ escape and hardcoded JWT secret bypassThis issue can be reached over the network, attack complexity is low, an attacker needs no privileges on the target. No user interaction is required. The scope is unchanged, so the impact stays within the vulnerable component. Rated impact: confidentiality high, integrity high, availability high.
The score comes from this vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
CVE-2026-53753 is classified as CWE-913: Improper Control of Dynamically-Managed Code Resources. Attacker input reaches variables, objects or code that the runtime manages dynamically.
CVE-2026-53753 is recorded against 1 package.
Published on 29 June 2026 and last revised on 20 July 2026. No public exploit is currently recorded for this entry. Record sourced from OSV.
github.com (Web)
github.com (Web)
github.com (Web)
github.com (Package)
pypi.org (Package)
github.com (Advisory)
nvd.nist.gov (Advisory)
crawl4ai has other advisories on record. If you are patching this one, these are worth checking on the same host:
These advisories are the same class of weakness (CWE-913: Improper Control of Dynamically-Managed Code Resources) in other software:
Details
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
Affected Packages
| Software | From version | Fixed in |
|---|---|---|
| crawl4ai | — | 0.8.7 |
References
Similar Threats
Exploit Protection
CVE-2026-53753 carries CVSS 9.5 Critical rating. BotEraser checks your installation against this and other known CVE records, and blocks IPs associated with exploit activity.
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ⓘ Data Notice: The information presented above has been compiled from publicly available internet sources. Boteraser aggregates this data solely for informational purposes and does not independently classify, evaluate, or endorse any findings about the vulnerabilities listed. The accuracy and completeness of this information is the sole responsibility of the original publishers. Boteraser and its operators accept no liability for any decisions made based on this data.
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