Spectra Assure
Community
failRisk: Vulnerabilities
Scanned: 14 days ago

azureml-core

Artifact:
latest
Top 1k
Azure Machine Learning core packages, modules, and classes
License: unknown
Published: 27 days 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

281.69M
Total Downloads
Contributor
Declared Dependencies
113
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 critical severity.

Prevalence in PyPI community

27 packages
found in
Top 100
156 packages
found in
Top 1k
1294 packages
found in
Top 10k
58.62k 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

Uniform Resource Locators (URLs) are structured addresses that point to locations and assets on the internet. URLs allow software developers to build complex applications that exchange data with servers that can be hosted in multiple geographical regions. URLs can commonly be found embedded in documentation, configuration files, source code and compiled binaries. One or more embedded URLs were discovered to link to raw files hosted on GitHub. Attackers often abuse popular web services to host malicious payloads. Since code-sharing services URLs are typically allowed by security solutions, using them for payload delivery increases the odds that the malicious code will reach the user. While the presence of code-sharing service locations does not imply malicious intent, all of their uses in a software package should be documented and approved. An increasing number of software supply chain attacks in the open source space leverages the GitHub service to deliver malicious payloads.

Prevalence in PyPI community

36 packages
found in
Top 100
219 packages
found in
Top 1k
1678 packages
found in
Top 10k
63.41k 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 an alternative delivery mechanism for software packages.

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 medium severity.

Prevalence in PyPI community

36 packages
found in
Top 100
209 packages
found in
Top 1k
1750 packages
found in
Top 10k
81.53k 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

Uniform Resource Locators (URLs) are structured addresses that point to locations and assets on the internet. URLs allow software developers to build complex applications that exchange data with servers that can be hosted in multiple geographical regions. URLs can commonly be found embedded in documentation, configuration files, source code and compiled binaries. Top-level domains (TLD) are a part of the Domain Name System (DNS), and are used to lookup an Internet Protocol (IP) address of a requested website. There are a few different types of top-level domains. Generic, sponsored and country-code TLDs are generally accessible to the public. Registrars that govern the assignment of domain names within the TLD may choose to sell specific domain names to an interested party. However, some registrars are known to have less strict rules for assigning domain names. Attackers often abuse gaps in governance and actively seek to register their malicious domains in such TLDs. This issue is raised for all domains registered within TLDs that harbor an excessive number of malicious sites. While the presence of suspicious TLDs does not imply malicious intent, all of its uses in a software package should be documented and approved.

Prevalence in PyPI community

12 packages
found in
Top 100
90 packages
found in
Top 1k
503 packages
found in
Top 10k
15.92k 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 changing the top-level domain to avoid being flagged by security solutions.

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 uncommon for this community (Uncommon)
1 packages
found in
Top 100
8 packages
found in
Top 1k
55 packages
found in
Top 10k
2.78k packages
in community

Prevalence in PyPI community

Behavior often found in this community (Common)
17 packages
found in
Top 100
91 packages
found in
Top 1k
572 packages
found in
Top 10k
16.23k 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

Prevalence in PyPI community

Behavior often found in this community (Common)
36 packages
found in
Top 100
281 packages
found in
Top 1k
1802 packages
found in
Top 10k
66.4k packages
in community

Top vulnerabilities

Vulnerability Exploitation Lifecycle
(3 Active Vulnerabilities)
2 (2 Fixable)
CVE-2025-54363m
CVE-2025-54364m
1 (0 Fixable)
CVE-2020-22083c
None
None
Exploits Unknown
Exploits Exist
Exploited by Malware
Patching Mandated