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 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 files with behaviors similar to malicious packages published on PyPI.
Causes risk: suspicious application behaviors
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. Python Package Index (PyPI) repository is often abused by threat actors to publish software packages that exhibit malicious behaviors. Malware authors use numerous tactics to lure developers into including malicious PyPI packages in their software projects. Most malicious packages published on PyPI target developers and their workstations. However, some are designed to activate only when deployed in the end-user environment. Both types of Python malicious packages are detected by proprietary ReversingLabs threat hunting algorithms. This detection method is considered proactive, and it is based on Machine Learning (ML) algorithms that can detect novel malware. 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 software packages to be detected by this policy.Prevalence in PyPI community
1 packages
found in
Top 100
18 packages
found in
Top 1k
104 packages
found in
Top 10k
16.5k packages
in community
Next steps
Investigate reported detections.
If the software intent does not relate to the reported behavior, investigate your build and release environment for software supply chain compromise.
You should delay the software release until the investigation is completed, or until the issue is risk accepted.
Consider rewriting the flagged code without using the marked behaviors.
Problem
Uniform Resource Locators (URLs) are structured addresses that point to locations and assets on the internet. URLs allow software developers to build complex applications that exchange data with servers that can be hosted in multiple geographical regions. URLs can commonly be found embedded in documentation, configuration files, source code and compiled binaries. Bitcoin (BTC) is a digital currency that uses peer-to-peer technology to facilitate instant payments on the web. Bitcoin exchanges allow their customers to trade cryptocurrencies or digital currencies for other assets, such as conventional fiat money or other digital currencies. Financially motivated actors often include references to cryptocurrency exchanges in their code. Ransomware victims are instructed to visit Bitcoin exchanges to acquire the digital currency. Bitcoin is the most common payment method accepted by attackers in exchange for decrypting the user-generated data that is held for ransom. While presence of Bitcoin exchange service references does not imply malicious intent, all of its uses in a software package should be documented and approved. Only select applications should consider keeping track of Bitcoin exchange websites.Prevalence in PyPI community
2 packages
found in
Top 100
1 packages
found in
Top 1k
22 packages
found in
Top 10k
1.62k packages
in community
Next steps
Investigate reported detections.
If the software should not include these network references, investigate your build and release environment for software supply chain compromise.
You should delay the software release until the investigation is completed, or until the issue is risk accepted.
Consider removing all references to flagged network locations.
Top behaviors
Starts a PowerShell session and executes Base64-encoded commands.
execution
Prevalence in PyPI community
Behavior uncommon for this community (Uncommon)
Behavior commonly used by malicious software (Important)
1 packages
found in
Top 100
4 packages
found in
Top 1k
8 packages
found in
Top 10k
5.74k packages
in community
Contains URLs related to Bitcoin exchange services.
network
Prevalence in PyPI community
Behavior commonly used by malicious software (Important)
Behavior uncommon for this community (Uncommon)
2 packages
found in
Top 100
1 packages
found in
Top 1k
22 packages
found in
Top 10k
1.62k packages
in community
Detects Xen related virtualized environments.
evasion
Prevalence in PyPI community
Behavior commonly used by malicious software (Important)
Behavior uncommon for this community (Uncommon)
0 packages
found in
Top 100
0 packages
found in
Top 1k
9 packages
found in
Top 10k
165 packages
in community
Detects VirtualBox related virtualized environments.
evasion
Prevalence in PyPI community
Behavior commonly used by malicious software (Important)
Behavior uncommon for this community (Uncommon)
0 packages
found in
Top 100
2 packages
found in
Top 1k
12 packages
found in
Top 10k
135 packages
in community
Detects VMWare related virtualized environments.
evasion
Prevalence in PyPI community
Behavior commonly used by malicious software (Important)
Behavior uncommon for this community (Uncommon)
0 packages
found in
Top 100
0 packages
found in
Top 1k
15 packages
found in
Top 10k
338 packages
in community
Top vulnerabilities
No vulnerabilities found.