scipyv1.15.0rc2
Copy SHA256
License: unknown
Published: 3 months ago
Fundamental algorithms for scientific computing in Python
Fail
Risk: Vulnerabilities
1 severe vulnerabilities exploited
SAFE Assessment
Compliance
Licenses
No license compliance issues
Secrets
No sensitive information found
Security
Vulnerabilities
1 severe vulnerabilities exploited
Hardening
116 modern mitigations missing
Threats
Tampering
No evidence of software tampering
Malware
No evidence of malware inclusion
Issues
high
Detected presence of files containing URLs that link to raw files on GitHub.
hunting
high
Detected presence of critical severity vulnerabilities.
vulnerabilities
high
Detected presence of severe vulnerabilities with active exploitation.
vulnerabilities
high
Detected Windows executable files with TLS callbacks susceptible to pointer hijacking.
hardening
high
Detected Windows executable files with imported functions susceptible to pointer hijacking.
hardening
Behaviors
Vulnerabilities
Downloads
3.62B
Total Downloads
Maintenance
3
Maintainers
Dependencies
2
Declared Dependencies
Dependents
0
Dependents
Issues per Version Graph
Scanned 1 day ago