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Scanned: 14 days ago

peft

Artifact:
latest
Top 10k
Parameter-Efficient Fine-Tuning (PEFT)
License: unknown
Published: about 2 months ago




SAFE Assessment

Compliance

Licenses
No license compliance issues
Secrets
No sensitive information found

Security

Vulnerabilities
No known vulnerabilities detected
Hardening
No application hardening issues

Threats

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

Popularity

95.32M
Total Downloads
Contributor
Declared Dependencies
730
Dependents

Top issues

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)
76 packages
found in
Top 100
459 packages
found in
Top 1k
3531 packages
found in
Top 10k
105.97k 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 often found in this community (Common)
12 packages
found in
Top 100
90 packages
found in
Top 1k
505 packages
found in
Top 10k
15.95k 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

Prevalence in PyPI community

Behavior often found in this community (Common)
44 packages
found in
Top 100
286 packages
found in
Top 1k
1787 packages
found in
Top 10k
48.75k packages
in community

Top vulnerabilities

No vulnerabilities found.