Scitokens

United States Open Source scitokens.org ↗
D
RISKY
5
Total CVEs
5
Crit / High
0
Medium
0%
Unpatched
0%
Patched
8.5
Avg CVSS
0
CISA KEV
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▸ CVE Trend by Year
▸ Patch Coverage
Patched
0%
Unpatched
0%
No Status
100%
✓ 0 patched ✗ 0 unpatched
▸ Intelligence by Audience
PoC Available
0 / 20 shown
CISA KEV (Exploited)
0
Shodan Dorks
ssl:"scitokens" port:443
org:"Scitokens" 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
5
Critical severity
1
Actively exploited (CISA)
0
Unpatched ratio
0%
Avg CVSS score
8.5
Security grade
D (RISKY)
NVD Data Attribution
Source: NIST National Vulnerability Database (NVD) + GitHub Advisory Database.
Data aggregated by Valters IT Hub · valtersit.com
Last updated: 2026-07-21
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 Scitokens.

▸ Recent CVEs showing 20 of 0
No published CVEs found.
▸Intel
CountryUnited States
LicenseOpen Source
Trust ScoreD — RISKY
Max CVSS9.8
Last Updated2026-07-21
▸Top Weaknesses
CWE-22
Unknown Weakness Type
2 occurrences in Scitokens CVEs (40% of total)
CWE-22 ⓘ
2
CWE-183
Unknown Weakness Type
1 occurrence in Scitokens CVEs (20% of total)
CWE-183 ⓘ
1
CWE-89
SQL Injection
1 occurrence in Scitokens CVEs (20% of total)
CWE-89 ⓘ
1
CWE-863
Incorrect Authorization
1 occurrence in Scitokens CVEs (20% of total)
CWE-863 ⓘ
1
▸Company Profile

SciTokens is an open-source software project that develops token-based authorization infrastructure for scientific computing, particularly for distributed high-throughput computing (HTC) and high-performance computing (HPC) environments. Its main product is the SciTokens library, which implements OAuth2-based access tokens for managing authorization across federated cyberinfrastructure. The project is significant for cybersecurity in scientific research as it provides a standardized, secure mechanism for fine-grained access control to computational and data resources, reducing reliance on less secure methods like X.509 proxies.

▸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)
Patch Speed ⓘ Poor (>65% open)
0% of CVEs still unpatched.  Excellent: <20% · Good: 20-40% · Avg: 40-65% · Poor: >65%
▸ Financial Risk Estimate
Est. GDPR Low
€610K
Est. GDPR High
€6.1M

Based on 1 critical CVEs, 0 CISA KEV, 100% unpatched. Model: GDPR Art.83 · not legal advice.

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Scitokens D valtersit.com