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apache-libcloud

Artifact:
latest
Top 10k
A standard Python library that abstracts away differences among multiple cloud provider APIs. For more information and documentation, please see https://libcloud.apache.org
License: unknown
Published: over 2 years 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

20.16M
Total Downloads
Contributor
Declared Dependencies
97
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

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

Proprietary ReversingLabs analysis engine supports a wide range of commonly used archive and software packaging formats. Using automated static file decomposition technologies, the engine recursively analyzes complex software packages. Software analysis is typically conducted in multiple steps. Content identification, unpacking, validation, and classification are some of the steps performed on each analyzed file. To limit the access to authorized users, the package contents may optionally be password-protected. When the package content is protected with an unknown password, it cannot be fully inspected by the analysis engine. The protected content might contain additional software components that were not listed in the Software Bill of Materials (SBOM) due to use of unknown passwords.

Prevalence in PyPI community

3 packages
found in
Top 100
16 packages
found in
Top 1k
50 packages
found in
Top 10k
468 packages
in community

Next steps

Consult the ReversingLabs product documentation for a list of supported archive and software packaging formats.
CLI only: Provide the ReversingLabs analysis engine with the passwords used to protect the software package.

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.

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. URL paths provide additional information to a web service when making a request. They are an optional, but an important part of the URL, as they may define specific content or actions based on the data being passed. Some parameters they pass might be considered sensitive information. Since path components are not encrypted this might cause sensitive information to leak. This issue is raised for URL paths than might contain information that attackers can easily intercept. Examples of sensitive information fields include passwords and other similar parameters.

Prevalence in PyPI community

13 packages
found in
Top 100
73 packages
found in
Top 1k
504 packages
found in
Top 10k
10.91k 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 removing all references to flagged network locations.

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

35 packages
found in
Top 100
271 packages
found in
Top 1k
1732 packages
found in
Top 10k
61.12k 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.

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 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

Prevalence in PyPI community

Behavior often found in this community (Common)
39 packages
found in
Top 100
252 packages
found in
Top 1k
1477 packages
found in
Top 10k
53.15k packages
in community

Prevalence in PyPI community

Behavior often found in this community (Common)
36 packages
found in
Top 100
219 packages
found in
Top 1k
1678 packages
found in
Top 10k
63.42k packages
in community

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

Top vulnerabilities

No vulnerabilities found.