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promptflow-devkit

Artifact:
latest
Top 10k
Prompt flow devkit
License: Permissive (MIT)
Published: 5 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

7.54M
Total Downloads
Contributor
Declared Dependencies
6
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
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

Private keys and certificates are considered sensitive information that should not be included in released software packages. However, developers frequently release sensitive information alongside their applications to facilitate automated software testing. Testing keys and certificates often proliferate through the software supply chain. When such information gets shared publicly, it is catalogued by file reputation databases. Any private key and certificate files seen by a file reputation database prior to configured time threshold can be automatically suppressed. Commonly shared sensitive information is not considered to be secret.

Prevalence in PyPI community

38 packages
found in
Top 100
164 packages
found in
Top 1k
747 packages
found in
Top 10k
16783 packages
in community

Next steps

Review the commonly shared sensitive information for evidence of inadvertently exposed secrets.
If the keys were published unintentionally and the software has been made public, you should revoke the keys and file a security incident.

Problem

Unicode is a text encoding standard designed to support the use of text written in all of the major languages and writing systems. While most languages are written from left to right, some are written in alternative directions. To accommodate encoding text written in such languages, the Unicode standard includes a number of special characters that allow the text direction to be specified. However, changing text direction can have adverse effects on how the encoded text is displayed and interpreted. For this reason, bidirectional Unicode control characters are commonly abused by malicious actors as a means of bypassing security solutions and avoiding detection. While presence of special Unicode characters does not imply malicious intent, all of its uses in a software package should be documented and approved. One example of acceptable use for these special characters is in script files that parse, validate, and transform Unicode-encoded text.

Prevalence in PyPI community

3 packages
found in
Top 100
43 packages
found in
Top 1k
281 packages
found in
Top 10k
8227 packages
in community

Next steps

Investigate reported detections as indicators of software tampering.
Consult Mitre ATT&CK documentation: T1036.002 - Masquerading: Right-to-Left Override.
Consult publicly available materials on the Trojan Source vulnerability.

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)
25 packages
found in
Top 100
132 packages
found in
Top 1k
758 packages
found in
Top 10k
15309 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

Prevalence in PyPI community

Behavior often found in this community (Common)
13 packages
found in
Top 100
92 packages
found in
Top 1k
565 packages
found in
Top 10k
24963 packages
in community

Prevalence in PyPI community

Behavior often found in this community (Common)
39 packages
found in
Top 100
280 packages
found in
Top 1k
1754 packages
found in
Top 10k
67026 packages
in community

Top vulnerabilities

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