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failIncident: Malware
Scanned: 4 days ago

uv

Artifact:
An extremely fast Python package and project manager, written in Rust.
License: Permissive (MIT)
Published: 4 days ago



SAFE Assessment

Compliance

Licenses
No license compliance issues
Secrets
2 plaintext private keys found

Security

Vulnerabilities
2 severe vulnerabilities exploited
Hardening
2 modern mitigations missing

Threats

Tampering
No evidence of software tampering
Malware
1 malicious components found

INCIDENTS:

malware
4 days agoReported By: ReversingLabs (Automated)
Learn more about malware detection

Popularity

638.67M
Total Downloads
Contributor
Declared Dependencies
665
Dependents

Top issues

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

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.

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

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

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

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

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

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