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Werkzeug

Artifact:
latest
Top 100
The comprehensive WSGI web application library.
License: unknown
Published: 12 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

6.03B
Total Downloads
Contributors
Declared Dependencies
2.79k
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. 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)
39 packages
found in
Top 100
280 packages
found in
Top 1k
1754 packages
found in
Top 10k
67026 packages
in community

Prevalence in PyPI community

Behavior often found in this community (Common)
40 packages
found in
Top 100
253 packages
found in
Top 1k
1433 packages
found in
Top 10k
53416 packages
in community

Prevalence in PyPI community

Behavior often found in this community (Common)
16 packages
found in
Top 100
128 packages
found in
Top 1k
776 packages
found in
Top 10k
25965 packages
in community

Prevalence in PyPI community

Behavior often found in this community (Common)
68 packages
found in
Top 100
508 packages
found in
Top 1k
3570 packages
found in
Top 10k
165477 packages
in community

Prevalence in PyPI community

Behavior often found in this community (Common)
20 packages
found in
Top 100
87 packages
found in
Top 1k
398 packages
found in
Top 10k
9398 packages
in community

Top vulnerabilities

No vulnerabilities found.