Top issues
Detected presence of software installers that can collect sensitive system information.
Causes risk: dangerous install procedures
hunting
Problem
Most software applications use standardized installation formats for their distribution. Software installers are built from instructions written within installation scripts that act as blueprints for the distribution format assembly. Installation scripts declare the most important software properties, such as the default installation location, its external dependencies, and various actions that may occur during the installation process. Actions defined within the installation script are executed automatically during events such as software deployment, update, or removal. These events are used by software developers to set up the environment for nominal software use, or to perform cleanup upon software removal. It is unusual for certain types of software installers to execute commands that can collect sensitive system information. Attackers often abuse software installers to run commands that collect identifiable system information such as hostnames, user names, folder structures, and other data points that could help them understand the environment in which their malicious code was installed.Prevalence in PyPI community
0 packages
found in
Top 100
1 packages
found in
Top 1k
3 packages
found in
Top 10k
706 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 installation procedure without using the marked 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.
Detected presence of files containing domains used for intercepting and inspecting HTTP requests.
hunting
Problem
Applications communicate with web services by exchanging HTTP requests. During software development, externally hosted services are used by developers to debug software quality issues relating to exchanging HTTP requests. Attackers commonly abuse tools designed for HTTP request inspection to monitor network traffic and extract sensitive information from the HTTP traffic. While the presence of domains related to HTTP inspection does not imply malicious intent, all of their uses in a software package should be documented and approved. Attackers might have purposely injected security testing tools in the software package to monitor the network traffic of the infected computer system. It is also possible that the software package has mistakenly included a part of its testing infrastructure during packaging.Prevalence in PyPI community
11 packages
found in
Top 100
41 packages
found in
Top 1k
239 packages
found in
Top 10k
11.68k 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.
Detected presence of software components that were recently published to the public package repository.
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. While a new software project is a welcome addition to the open source community, it is not always prudent to indiscriminately use the latest components when building a commercial application. Irrespective of the software quality, the danger of being the first to try out a new project lies in the fact that the software component may contain novel, currently undetected malicious code. Therefore, it is prudent to review software component behaviors and even try out software component in a sandbox, an environment meant for testing untrusted code.Prevalence in PyPI community
0 packages
found in
Top 100
0 packages
found in
Top 1k
5 packages
found in
Top 10k
38.63k packages
in community
Next steps
Check the software component behaviors for anomalies.
Consider exploratory software component testing within a sandbox environment.
Consider replacing the software component with a more widely used alternative.
Avoid using this software package until it is vetted as safe.
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 commonly abused by malicious software with the intent to cause harm. When a software package shares behavior traits with malicious software, it may become flagged by security solutions. Any detection from security solutions can cause friction for the end-users during software deployment. While the behavior is likely intended by the developer, there is a small chance this detection is true positive, and an early indication of a software supply chain attack.Prevalence in PyPI community
20 packages
found in
Top 100
92 packages
found in
Top 1k
907 packages
found in
Top 10k
43.88k 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.
Top behaviors
Adds custom functionality to the Python setuptools "install" command.
anomaly
Prevalence in PyPI community
Behavior commonly used by malicious software (Important)
Behavior uncommon for this community (Uncommon)
0 packages
found in
Top 100
7 packages
found in
Top 1k
301 packages
found in
Top 10k
8.48k packages
in community
Queries the host name of the computer during the package installation process.
search
Prevalence in PyPI community
Behavior uncommon for this community (Uncommon)
0 packages
found in
Top 100
1 packages
found in
Top 1k
3 packages
found in
Top 10k
693 packages
in community
Overrides the default behavior of Python setuptool commands.
anomaly
Prevalence in PyPI community
Behavior often found in this community (Common)
24 packages
found in
Top 100
165 packages
found in
Top 1k
1180 packages
found in
Top 10k
29.66k packages
in community
Queries the login name of the user.
search
Prevalence in PyPI community
Behavior often found in this community (Common)
9 packages
found in
Top 100
64 packages
found in
Top 1k
343 packages
found in
Top 10k
11.88k packages
in community
Opens a URL.
network
Prevalence in PyPI community
Behavior often found in this community (Common)
30 packages
found in
Top 100
166 packages
found in
Top 1k
1155 packages
found in
Top 10k
31.66k packages
in community
Top vulnerabilities
No vulnerabilities found.