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CVE-2023-0435
Excessive Attack Surface in pyload-ng
Summary
Excessive Attack Surface in pyload-ng
AI summary snake-internal / snake-template-v1
A weakness called CVE-2023-0435 was discovered in Excessive Attack Surface in.
Severity is Info. Low severity or not yet rated.
What you should do: update the affected software to the latest version. If unsure, ask your IT team or search the vendor's site for "Excessive Attack Surface in CVE-2023-0435".
CVE-2023-0435 (Excessive Attack Surface in). Severity: Info. Category: CWE-1125.
Response plan:
1. Check the vendor advisory for affected versions and the patched release.
2. If a vulnerable version is running in production, schedule maintenance (urgency from KEV/CVSS).
3. If no patch yet, mitigate via WAF rule, disabling the affected feature, etc.
4. Monitor logs / SIEM for known IOC and PoC signatures of this CVE.
PoCs and fix commits: see the 'References' section, MITRE, and NVD.
❓ What is the problem
A weakness (CVE-2023-0435) in Excessive Attack Surface in. A serious software flaw has been identified.
📍 Affected scope
Target versions of Excessive Attack Surface in (see vendor advisory). If running in production, identify exposure immediately.
🔥 Severity
Severity: Info. Low severity or not yet rated.
🔧 How to fix
Update to the patched release as listed in the vendor advisory. (Typical mitigation pattern for CWE-1125)
🛡️ Workaround
If a patch is not yet available, consider disabling the affected feature, applying WAF rules, blocking via network ACLs, or isolating the vulnerable version.
🔍 Detection
Check version information, scan dependencies via SBOM, and monitor SIEM for IOC and PoC signatures related to this CVE.
Affected packages
PyPI
pyload-ng
[{"type":"ECOSYSTEM","events":[{"introduced":"0"},{"fixed":"0.5.0b3.dev41"}]}]
References
- advisory https://nvd.nist.gov/vuln/detail/CVE-2023-0435
- advisory https://github.com/advisories/GHSA-6jmx-pv77-wm5w
- package https://github.com/pyload/pyload
- package https://pypi.org/project/pyload-ng
- web https://github.com/pyload/pyload/commit/431ea6f0371d748df66b344a05ca1a8e0310cff3
- web https://huntr.dev/bounties/a3e32ad5-caee-4f43-b10a-4a876d4e3f1d