Top issues
Detected presence of known software supply chain attack artifacts.
Causes risk: supply chain attack artifacts
threats
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
11 packages
found in
Top 10k
14.01k 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.
Detected presence of malicious files through analyst-vetted file reputation.
Causes risk: analyst-vetted malware found
threats
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
10 packages
found in
Top 10k
14.02k packages
in community
Next steps
Investigate the build and release environment for software supply chain compromise.
Avoid using this software package.
Detected presence of files with behaviors exclusively used by malicious software.
Causes risk: malware-like behaviors found
hunting
Problem
Software components contain executable code that performs actions implemented during its development. These actions are called behaviors. In the analysis report, behaviors are presented as human-readable descriptions that best match the underlying code intent. While most behaviors are benign, some are exclusively used by malicious software with the intent to cause harm. When a software package matches behavior traits of malicious software, it becomes flagged by security solutions. It is highly likely that the software package was tampered with by a malicious actor or a rogue insider.Prevalence in PyPI community
0 packages
found in
Top 100
1 packages
found in
Top 1k
5 packages
found in
Top 10k
9.47k packages
in community
Next steps
Investigate reported detections.
Investigate your build and release environment for software supply chain compromise.
You should delay the software release until the investigation is completed.
In the case this behavior is intended, rewrite the flagged code without using the malware-like behaviors.
Detected presence of files with behaviors that match the infostealer malware profile.
Causes risk: malware-like behaviors found
hunting
Problem
Software components contain executable code that performs actions implemented during its development. These actions are called behaviors. In the analysis report, behaviors are presented as human-readable descriptions that best match the underlying code intent. While most behaviors are benign, some are exclusively used by malicious software with the intent to cause harm. When a software package matches behavior traits of malicious software, it becomes flagged by security solutions. It is highly likely that the software package was tampered with by a malicious actor or a rogue insider. Detected threat type matches the behaviors typically exhibited by the infostealer malware profile. Infostealers are commonly used to steal sensitive user data such as stored login details, financial information, and other personally identifiable information.Prevalence in PyPI community
0 packages
found in
Top 100
0 packages
found in
Top 1k
3 packages
found in
Top 10k
2.05k packages
in community
Next steps
Investigate reported detections.
Investigate your build and release environment for software supply chain compromise.
You should delay the software release until the investigation is completed.
In the case this behavior is intended, rewrite the flagged code without using the malware-like behaviors.
Detected presence of software components authored by known threat actors.
Causes risk: malicious author components
hunting
Problem
Software developers use programming and design knowledge to build reusable software components. Software components are the basic building blocks for modern applications. Software consumed by an enterprise consists of hundreds, and sometimes even thousands of open source components. Software developers publish components they have authored to public repositories. Open source communities use code repositories to facilitate project discovery and simplify software deployment. However, anyone with an email account can join a community and start publishing code to public repositories. Vetting users before they join a community is usually not done by repository maintainers. That makes public repositories popular among threat actors. Detected software component was authored by an email address, or an identity, that is known to publish malicious code in public repositories.Prevalence in PyPI community
0 packages
found in
Top 100
0 packages
found in
Top 1k
3 packages
found in
Top 10k
9.22k packages
in community
Next steps
Investigate reported detections.
Investigate your build and release environment for software supply chain compromise.
You should delay the software release until the investigation is completed.
Consider replacing the software component with an alternative.
Top behaviors
The software package was developed by a user known for distributing malicious packages on the PyPI repository.
anomaly
Prevalence in PyPI community
Behavior exclusively used by malicious software (Malicious)
Behavior uncommon for this community (Uncommon)
0 packages
found in
Top 100
0 packages
found in
Top 1k
3 packages
found in
Top 10k
9.22k packages
in community
Decodes data using the Base64 algorithm.
packer
Prevalence in PyPI community
Behavior often found in this community (Common)
39 packages
found in
Top 100
252 packages
found in
Top 1k
1477 packages
found in
Top 10k
53.15k packages
in community
Contains URLs that link to raw files on GitHub.
network
Prevalence in PyPI community
Behavior often found in this community (Common)
36 packages
found in
Top 100
219 packages
found in
Top 1k
1678 packages
found in
Top 10k
63.42k packages
in community
Decompresses data using the Zlib algorithm.
packer
Prevalence in PyPI community
Behavior often found in this community (Common)
22 packages
found in
Top 100
83 packages
found in
Top 1k
430 packages
found in
Top 10k
9.5k packages
in community
Executes an expression.
execution
Prevalence in PyPI community
Behavior often found in this community (Common)
53 packages
found in
Top 100
351 packages
found in
Top 1k
1856 packages
found in
Top 10k
48.82k packages
in community
Top vulnerabilities
No vulnerabilities found.