Spectra Assure
Community
failIncident: Removal
Scanned: 3 days ago

GitPython

Artifact:
License: unknown
Published: about 2 years ago



SAFE Assessment

Compliance

Licenses
No license compliance issues
Secrets
No sensitive information found

Security

Vulnerabilities
1 high severity vulnerabilities
Hardening
No application hardening issues

Threats

Tampering
No evidence of software tampering
Malware
No evidence of malware inclusion

INCIDENTS FOR THIS VERSION:

removal
3 months agoReported By: Community

Popularity

3.49B
Total Downloads
Contributors
Declared Dependencies
4.95k
Dependents

Top issues

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 high severity.

Prevalence in PyPI community

42 packages
found in
Top 100
278 packages
found in
Top 1k
1960 packages
found in
Top 10k
77.08k packages
in community

Next steps

Perform impact analysis for the reported CVEs.
Update 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 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. Open source communities depend on the work of thousands of software developers that volunteer their time to maintain software components. Software developers build up the reputation of their open source projects by developing in public. Modern source code repositories have many social features that allow software developers to handle bug reports, have discussions with their users, and convey reaching significant project milestones. It is uncommon to find open source projects that omit linking their component to a publicly accessible source code repository.

Prevalence in PyPI community

70 packages
found in
Top 100
472 packages
found in
Top 1k
4207 packages
found in
Top 10k
413.79k 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

Operating systems allow multiple user accounts to coexist on a single computer system. Each registered user has identity information associated with their account. At the very least, user accounts consist of a user name and an optional password. In some cases, user account data may also include personally identifiable information. Extended personal information may include user's given and last name, their email and mailing address, personal photo and their telephone number. Financially motivated attackers may seek to collect personal information for purposes of selling the private data to a third-party. Malicious code that typically exhibits these behavior traits is commonly referred to as an information stealer. While the presence of code that accesses identity information does not necessarily imply malicious intent, all of its uses in a software package should be documented and approved. Accessing identity information is a very common behavior for software packages. One example of acceptable use for such functions is verifying that the active user has purchased a software license that allows them to run the application.

Prevalence in PyPI community

16 packages
found in
Top 100
113 packages
found in
Top 1k
669 packages
found in
Top 10k
19.67k packages
in community

Next steps

Investigate reported detections as indicators of software tampering.
Consult Mitre ATT&CK documentation: T1033 - System Owner/User Discovery.

Top behaviors

Prevalence in PyPI community

Behavior often found in this community (Common)
34 packages
found in
Top 100
186 packages
found in
Top 1k
1071 packages
found in
Top 10k
27.02k packages
in community

Prevalence in PyPI community

Behavior often found in this community (Common)
69 packages
found in
Top 100
506 packages
found in
Top 1k
3612 packages
found in
Top 10k
163.85k packages
in community

Prevalence in PyPI community

Behavior uncommon for this community (Uncommon)
2 packages
found in
Top 100
14 packages
found in
Top 1k
92 packages
found in
Top 10k
2.94k packages
in community

Prevalence in PyPI community

Behavior often found in this community (Common)
25 packages
found in
Top 100
89 packages
found in
Top 1k
415 packages
found in
Top 10k
9.06k packages
in community

Prevalence in PyPI community

Behavior often found in this community (Common)
68 packages
found in
Top 100
540 packages
found in
Top 1k
3680 packages
found in
Top 10k
150.76k packages
in community

Top vulnerabilities

Vulnerability Exploitation Lifecycle
(1 Active Vulnerabilities)
1 (1 Fixable)
CVE-2024-22190h
None
None
None
Exploits Unknown
Exploits Exist
Exploited by Malware
Patching Mandated