Raw vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:HSummary
CVE-2023-0297 is a critical-severity Code Injection (CWE-94) vulnerability in Pyload Pyload. Its CVSS base score is 9.8 (Critical).
Operationally, exploitation aligns with the MITRE ATT&CK technique Command and Scripting Interpreter (T1059); ranked in the top 0.1% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.
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-2023-0297 is a code injection vulnerability, tracked under CWE-94, that affects the pyLoad download manager in the pyload/pyload GitHub repository prior to version 0.5.0b3.dev31. The flaw received a CVSS 3.1 score of 9.8, reflecting network-accessible attack vectors that require no authentication or user interaction and can impact confidentiality, integrity, and availability.
An unauthenticated attacker can supply crafted input that results in arbitrary Python code execution on the server. Public proof-of-concept material demonstrates remote code execution by abusing the js2py component, allowing an adversary to run operating-system commands or install persistent implants without prior credentials.
The referenced GitHub commit 7d73ba7919e594d783b3411d7ddb87885aea782d implements the fix, and the project released version 0.5.0b3.dev31 to address the issue. Multiple PacketStorm entries and the huntr.dev bounty report document working exploits and recommend immediate upgrade for any deployment still running an affected build.
EPSS scores remain elevated, with a current value of 0.9294 and a recorded peak of 0.9486, indicating sustained exploitation interest after disclosure.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2023-0517
Vulnerability Data
Code Injection in GitHub repository pyload/pyload prior to 0.5.0b3.dev31.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Control response
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V1.3.1
Likely Mitigating Controls AI
Per-CVE control mapping for this CVE has not run yet; the list below is derived from the weakness types (CWEs) cited in the NVD entry.
Makes persistent code injection into loaded programs impossible when the executable image itself resides on hardware-protected read-only media.
Dynamically generated code can be produced and executed inside the isolated chamber, preventing host compromise from code-injection payloads.
Validates inputs used in dynamic code generation to block injected directives.
Directly prevents execution of attacker-supplied code written into data memory regions.
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 target injection flaws via secure coding and testing (mostly), yet as a single broad outcome it leaves many code-generation specifics unaddressed (partial).
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.
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.
Controls that restrict unauthorized or malicious code from being introduced via external networks or removable media limit opportunities for an attacker to inject and execute arbitrary code.