Top issues
Detected presence of malicious files by a machine learning algorithm.
Causes risk: malicious components found
threats
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.
Detected presence of severe vulnerabilities with active exploitation.
Causes risk: actively exploited vulnerabilities
vulnerabilities
Problem
Software composition analysis has identified a component with one or more known severe vulnerabilities. Available threat intelligence telemetry has confirmed that the reported high or critical severity vulnerabilities are actively being exploited by malicious actors.Prevalence in PyPI community
38 packages
found in
Top 100
303 packages
found in
Top 1k
2611 packages
found in
Top 10k
103184 packages
in community
Next steps
We strongly advise updating the component to the latest version.
If the update can't resolve the issue, create a plan to isolate or replace the affected component.
Detected presence of critical severity vulnerabilities.
Causes risk: critical severity vulnerabilities
vulnerabilities
Problem
Software composition analysis has identified a component with one or more known vulnerabilities. Based on the CVSS scoring, these vulnerabilities have been marked as critical severity.Prevalence in PyPI community
25 packages
found in
Top 100
212 packages
found in
Top 1k
1951 packages
found in
Top 10k
77976 packages
in community
Next steps
Perform impact analysis for the reported CVEs.
We strongly advise updating the component to the latest version.
If the update can't resolve the issue, create a plan to isolate or replace the affected component.
Problem
Private keys are used to protect sensitive information, digitally sign content, and to secure information transmission. Private keys are considered secrets, and as such should never be published. Depending on the type of a private key, its exposure can carry a varying degree of risk. Attackers abuse private keys to gain unauthorized server access, decrypt sensitive information, digitally sign content, or impersonate users whose private keys have been leaked.Prevalence in PyPI community
7 packages
found in
Top 100
35 packages
found in
Top 1k
162 packages
found in
Top 10k
2400 packages
in community
Next steps
Review the reported private keys and remove them from the software package if they were accidentally included.
If the keys were published unintentionally and the software has been made public, you should revoke the keys and file a security incident.
Problem
Private keys are used to protect sensitive information, digitally sign content, and to secure information transmission. Private keys are considered secrets, and as such should never be published. Depending on the private key type its exposure can carry a varying degree of risk. While it is common for private keys to be found as standalone files, the detected ones have been found embedded within another software package component. This could indicate an attempt to hide private key presence. Attackers abuse private keys to gain unauthorized server access, decrypt sensitive information, digitally sign content, or impersonate users whose private keys have been leaked.Prevalence in PyPI community
8 packages
found in
Top 100
27 packages
found in
Top 1k
98 packages
found in
Top 10k
1458 packages
in community
Next steps
Review the reported private keys and remove them from the software package if they were accidentally included.
If the keys were published unintentionally and the software has been made public, you should revoke the keys and file a security incident.
Top behaviors
Accesses credentials from the Windows Credential Manager.
steal
Prevalence in PyPI community
Behavior commonly used by malicious software (Important)
Behavior uncommon for this community (Uncommon)
0 packages
found in
Top 100
1 packages
found in
Top 1k
9 packages
found in
Top 10k
105 packages
in community
Deletes the value of a registry key.
registry
Prevalence in PyPI community
Behavior often found in this community (Common)
11 packages
found in
Top 100
37 packages
found in
Top 1k
141 packages
found in
Top 10k
2530 packages
in community
Deletes a registry key and its values.
registry
Prevalence in PyPI community
Behavior often found in this community (Common)
11 packages
found in
Top 100
37 packages
found in
Top 1k
136 packages
found in
Top 10k
2494 packages
in community
Requests permission required to perform restore operations.
permissions
Prevalence in PyPI community
Behavior uncommon for this community (Uncommon)
0 packages
found in
Top 100
4 packages
found in
Top 1k
24 packages
found in
Top 10k
532 packages
in community
Sends data on a connected TCP socket.
network
Prevalence in PyPI community
Behavior often found in this community (Common)
13 packages
found in
Top 100
99 packages
found in
Top 1k
566 packages
found in
Top 10k
19246 packages
in community
Top vulnerabilities
Vulnerability Exploitation Lifecycle
(2 Active Vulnerabilities)
None
2 (2 Fixable)
CVE-2022-37434c
CVE-2018-25032h
None
None
Exploits Unknown
Exploits Exist
Exploited by Malware
Patching Mandated