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comet-mlv3.44.4

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License: Permissive (MIT)
PyPI
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Published: 3 months ago
Supercharging Machine Learning
Fail
Risk: Vulnerabilities
2 severe vulnerabilities exploited

SAFE Assessment

Compliance

Licenses
No license compliance issues
Secrets
No sensitive information found

Security

Vulnerabilities
2 severe vulnerabilities exploited
Hardening
No application hardening issues

Threats

Tampering
No evidence of software tampering
Malware
No evidence of malware inclusion

Issues

See all issues
high
Detected presence of high severity vulnerabilities.
vulnerabilities
high
Detected presence of critical severity vulnerabilities.
vulnerabilities
high
Detected presence of severe vulnerabilities with active exploitation.
vulnerabilities
medium
Detected presence of medium severity vulnerabilities.
vulnerabilities
low
Detected presence of files containing URLs that use non-standard ports.
hunting

Behaviors

See all behaviors
Prompts user for credentials.
behavior
Encodes data using the Base64 algorithm.
packer
Decodes data using the Base64 algorithm.
packer
Contains URLs that link to interesting file formats.
network
Opens a TCP connection to a remote server.
network

Vulnerabilities

critical1
high5
medium9
low0

Downloads

11.18M
Total Downloads

Maintenance

4
Maintainers

Dependencies

16
Declared Dependencies

Dependents

0
Dependents

Issues per Version Graph

Scanned 10 days ago