Spectra Assure
Community
failRisk: Vulnerabilities
Scanned: 16 days ago

ipyparallel

Artifact:
latest
Top 10k
Interactive Parallel Computing with IPython
License: unknown
Published: 3 months ago



SAFE Assessment

Compliance

Licenses
No license compliance issues
Secrets
No sensitive information found

Security

Vulnerabilities
1 severe vulnerabilities exploited
Hardening
No application hardening issues

Threats

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

Popularity

19.79M
Total Downloads
Contributors
Declared Dependencies
71
Dependents

Top issues

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

35 packages
found in
Top 100
210 packages
found in
Top 1k
1787 packages
found in
Top 10k
86.39k 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 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 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.

Problem

Attackers commonly hide their malicious payloads in layers of packing and code obfuscation. Base-encoding is a common data transformation technique used to convert binary payloads into text. Detected software behaviors indicate that the code has the ability to decode and execute Base-encoded data. While presence of dynamic code execution does not imply malicious intent, all of its uses in a software package should be documented and approved. When a software package has behavior traits similar to malicious software, it may become flagged by security solutions. One example of acceptable use for dynamic Base-encoded data execution is transfer of software components over the network.

Prevalence in PyPI community

1 packages
found in
Top 100
6 packages
found in
Top 1k
18 packages
found in
Top 10k
6.2k packages
in community

Next steps

Investigate reported detections as indicators of software tampering.
Consult Mitre ATT&CK documentation: T1027 - Obfuscated Files or Information.
Consider rewriting the flagged code without using the marked behaviors.

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.

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 commonly used by malicious software (Important)
Behavior uncommon for this community (Uncommon)
0 packages
found in
Top 100
3 packages
found in
Top 1k
11 packages
found in
Top 10k
457 packages
in community

Prevalence in PyPI community

Behavior often found in this community (Common)
14 packages
found in
Top 100
98 packages
found in
Top 1k
585 packages
found in
Top 10k
18.68k packages
in community

Prevalence in PyPI community

Behavior often found in this community (Common)
10 packages
found in
Top 100
93 packages
found in
Top 1k
490 packages
found in
Top 10k
15.62k packages
in community

Prevalence in PyPI community

Behavior often found in this community (Common)
8 packages
found in
Top 100
47 packages
found in
Top 1k
320 packages
found in
Top 10k
12.52k packages
in community

Top vulnerabilities

Vulnerability Exploitation Lifecycle
(1 Active Vulnerabilities)
None
1 (1 Fixable)
CVE-2023-24816h
None
None
Exploits Unknown
Exploits Exist
Exploited by Malware
Patching Mandated