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Scanned: 12 days ago

mlflow-skinny

Artifact:
latest
Top 1k
MLflow is an open source platform for the complete machine learning lifecycle
License: unknown
Published: 12 days 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

INCIDENTS FOR THIS VERSION:

Popularity

357.79M
Total Downloads
Contributor
Declared Dependencies
118
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. 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

33 packages
found in
Top 100
206 packages
found in
Top 1k
1631 packages
found in
Top 10k
63840 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

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
83 packages
found in
Top 1k
478 packages
found in
Top 10k
15910 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.

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. A port number is associated with a network address of a host, such as an IP address, and the type of network protocol used for communication. Within URLs, the ports are optional. Ports can be specified in a URL immediately following the domain name. Each network protocol, or schema, has a set of standard ports on which the service operates. This issue is raised when a mismatch between a network protocol and its expected port number is detected. While the presence of non-standard ports does not imply malicious intent, all of their uses in a software package should be documented and approved.

Prevalence in PyPI community

34 packages
found in
Top 100
261 packages
found in
Top 1k
1650 packages
found in
Top 10k
58747 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 port to one that is standard for the networking protocol.

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

14 packages
found in
Top 100
94 packages
found in
Top 1k
529 packages
found in
Top 10k
17318 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)
3 packages
found in
Top 100
17 packages
found in
Top 1k
81 packages
found in
Top 10k
1111 packages
in community

Prevalence in PyPI community

Behavior often found in this community (Common)
5 packages
found in
Top 100
28 packages
found in
Top 1k
165 packages
found in
Top 10k
3060 packages
in community

Prevalence in PyPI community

Behavior often found in this community (Common)
5 packages
found in
Top 100
28 packages
found in
Top 1k
162 packages
found in
Top 10k
3073 packages
in community

Prevalence in PyPI community

Behavior often found in this community (Common)
34 packages
found in
Top 100
185 packages
found in
Top 1k
1062 packages
found in
Top 10k
25867 packages
in community

Prevalence in PyPI community

Behavior uncommon for this community (Uncommon)
1 packages
found in
Top 100
5 packages
found in
Top 1k
47 packages
found in
Top 10k
2696 packages
in community

Top vulnerabilities

Vulnerability Exploitation Lifecycle
(1 Active Vulnerabilities)
None
None
None
None
Exploits Unknown
Exploits Exist
Exploited by Malware
Patching Mandated