Pyload-Ng Project
A
TRUSTED
9
Total CVEs
5
Crit / High
4
Medium
0%
Unpatched
0%
Patched
7.5
Avg CVSS
0
CISA KEV
// Data sourced from NVD · CISA KEV · RHSA · GHSA · Debian · OSV · EPSS · Exploit-DB
How we collect data →
CVE Trend by Year
Patch Coverage
✓ 0 patched ✗ 0 unpatched
Intelligence by Audience
PoC Available
0 / 20 shown
CISA KEV (Exploited)
0
Shodan Dorks
ssl:"pyload-ng project" port:443
org:"Pyload-Ng Project" http.status:200
Top EPSS (Exploitation Probability)
No EPSS data yet for recent CVEs — scores are published by FIRST.org within 24-48h of NVD disclosure.
Quick Facts for Reporting
Total CVEs tracked
9
Critical severity
1
Actively exploited (CISA)
0
Unpatched ratio
0%
Avg CVSS score
7.5
Security grade
A (TRUSTED)
NVD Data Attribution
Source: NIST National Vulnerability Database (NVD) + GitHub Advisory Database.
Data aggregated by Valters IT Hub · valtersit.com
Last updated: 2026-06-10
Data aggregated by Valters IT Hub · valtersit.com
Last updated: 2026-06-10
Security Risk Score (for investors)
LOW
Vuln Volume
GOOD
Patch Responsiveness
LOW
CISA Exposure
⚠ Not financial advice. Past security incidents do not guarantee future stock performance.
Security News Google News
No recent security news found for Pyload-Ng Project.
Recent CVEs
showing 20 of 0
No published CVEs found.
Intel
CountryGermany
Trust ScoreA — TRUSTED
Max CVSS9.1
Last Updated2026-06-10
Top Weaknesses
CWE-22
Unknown Weakness Type
3 occurrences in Pyload-Ng Project CVEs
(33% of total)
CWE-918
Server-Side Request Forgery (SSRF)
2 occurrences in Pyload-Ng Project CVEs
(22% of total)
CWE-78
Unknown Weakness Type
1 occurrence in Pyload-Ng Project CVEs
(11% of total)
CWE-295
Unknown Weakness Type
1 occurrence in Pyload-Ng Project CVEs
(11% of total)
CWE-441
Unknown Weakness Type
1 occurrence in Pyload-Ng Project CVEs
(11% of total)
CWE-863
Incorrect Authorization
1 occurrence in Pyload-Ng Project CVEs
(11% of total)
Company Profile
The pyLoad-NG Project develops pyLoad, an open-source, lightweight download manager written in Python. It is designed for headless servers and offers web-based management, making it relevant for automated file downloading in cybersecurity research environments. Its significance lies in its extensibility and community-driven development, though it has a limited number of tracked CVEs.
Response Metrics
Est. MTTR ⓘ
~500 days
(Critical)
Mean Time To Remediate. Estimates days from CVE disclosure to patch.
Industry avg: ~60d (good) · 100-300d (poor) · 300d+ (critical)
Industry avg: ~60d (good) · 100-300d (poor) · 300d+ (critical)
Patch Speed ⓘ Excellent (<20% open)
0% of CVEs still unpatched.
Excellent: <20% · Good: 20-40% · Avg: 40-65% · Poor: >65%
Financial Risk Estimate
Est. GDPR Low
€10K
Est. GDPR High
€100K
Based on 1 critical CVEs, 0 CISA KEV, 0% unpatched. Model: GDPR Art.83 · not legal advice.
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