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failIncident: Malware
Scanned: about 1 month ago

chatgpt4

Artifact:
latest
malicious
License: unknown
Published: 5 months ago



SAFE Assessment

Compliance

Licenses
No license compliance issues
Secrets
No sensitive information found

Security

Vulnerabilities
No known vulnerabilities detected
Hardening
1 modern mitigations missing

Threats

Tampering
1 components prone to hijacking
Malware
5 supply chain attack artifacts

INCIDENTS FOR THIS VERSION:

malware
5 months agoReported By: ReversingLabs (Automated)
Learn more about malware detection
malware
5 months agoReported By: ReversingLabs (Researcher)
Learn more about malware detection

Popularity

1.27k
Total Downloads
Contributors
Declared Dependencies
0
Dependents

Top issues

Problem

Proprietary ReversingLabs malware detection algorithms have determined that the software package contains one or more malicious components. The detection was made by either a static byte signature, software component identity, or a complete file hash. This malware detection method is considered highly accurate, and can typically attribute malware to previously discovered software supply chain attacks. It is common to have multiple supply chain attack artifacts that relate to a single malware incident.

Prevalence in PyPI community

0 packages
found in
Top 100
0 packages
found in
Top 1k
5 packages
found in
Top 10k
13913 packages
in community

Next steps

If the software intent does not relate to malicious behavior, investigate the build and release environment for software supply chain compromise.
Avoid using this software package.

Problem

Proprietary ReversingLabs malware detection algorithms have determined that the software package contains one or more malicious files. The detection was made by a machine learning model. This malware detection method is considered proactive, and can typically identify the malware threat type. The detection is strongly influenced by behaviors that software components exhibit. Behaviors similar to previously discovered malware and software supply chain attacks may cause some otherwise benign components to be detected as malicious.

Prevalence in PyPI community

0 packages
found in
Top 100
6 packages
found in
Top 1k
36 packages
found in
Top 10k
1693 packages
in community

Next steps

Inspect behaviors exhibited by the detected software components.
If the software behaviors differ from expected, investigate the build and release environment for software supply chain compromise.
Avoid using this software package until it is vetted as safe.
Consider rewriting code that may have triggered the detection due to its malware similarity.

Problem

Threat researchers have manually inspected the software package and determined that it contains one or more malicious files. The detection was made by a hash-based file reputation lookup. This malware detection method is considered highly accurate, and can typically identify the malware family by name.

Prevalence in PyPI community

0 packages
found in
Top 100
0 packages
found in
Top 1k
7 packages
found in
Top 10k
13959 packages
in community

Next steps

Investigate the build and release environment for software supply chain compromise.
Avoid using this software package.

Problem

Third-party malware detection algorithms have determined that the software package contains one or more malicious files. The detection was made by a hash-based file reputation lookup. This malware detection method is considered accurate, and can typically identify the malware family by name.

Prevalence in PyPI community

0 packages
found in
Top 100
1 packages
found in
Top 1k
18 packages
found in
Top 10k
795 packages
in community

Next steps

If the software intent does not relate to malicious behavior, investigate the build and release environment for software supply chain compromise.
Avoid using this software package.

Problem

Sensitive executable memory regions should be kept as read-only to protect the integrity of trusted execution code flow paths. Imported function addresses are pointers to the symbols that implement the application-required functionality. If those pointers are changed by malicious code, execution paths can be redirected to unintended locations. Most modern programming language toolchains protect those memory regions appropriately. These issues are commonly reported for outdated linkers and non-compliant executable packing solutions.

Prevalence in PyPI community

14 packages
found in
Top 100
22 packages
found in
Top 1k
138 packages
found in
Top 10k
3863 packages
in community

Next steps

Review the programming language linker options, and consider a build toolchain update.

Top behaviors

Prevalence in PyPI community

Behavior uncommon for this community (Uncommon)
0 packages
found in
Top 100
13 packages
found in
Top 1k
82 packages
found in
Top 10k
1822 packages
in community

Prevalence in PyPI community

Behavior uncommon for this community (Uncommon)
1 packages
found in
Top 100
14 packages
found in
Top 1k
102 packages
found in
Top 10k
2098 packages
in community

Prevalence in PyPI community

Behavior often found in this community (Common)
34 packages
found in
Top 100
169 packages
found in
Top 1k
1256 packages
found in
Top 10k
55955 packages
in community

Prevalence in PyPI community

Behavior uncommon for this community (Uncommon)
1 packages
found in
Top 100
3 packages
found in
Top 1k
35 packages
found in
Top 10k
1105 packages
in community

Prevalence in PyPI community

Behavior often found in this community (Common)
16 packages
found in
Top 100
86 packages
found in
Top 1k
341 packages
found in
Top 10k
7700 packages
in community

Top vulnerabilities

No vulnerabilities found.