Spectra Assure
Community
failRisk: Vulnerabilities
Scanned: 2 days ago

ais-dom

Artifact:
latest
Top 10k
Open-source home automation platform running on Python 3.
License: Permissive (Apache-2.0)
Published: about 2 years ago




SAFE Assessment

Compliance

Licenses
No license compliance issues
Secrets
No sensitive information found

Security

Vulnerabilities
2 severe vulnerabilities exploited
Hardening
No application hardening issues

Threats

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

Popularity

4.13M
Total Downloads
Contributors
Declared Dependencies
0
Dependents

Top issues

Problem

Software composition analysis has identified a component with one or more known severe vulnerabilities. Available threat intelligence telemetry has confirmed that the reported high or critical severity vulnerabilities are actively being exploited by malicious actors.

Prevalence in PyPI community

35 packages
found in
Top 100
210 packages
found in
Top 1k
1787 packages
found in
Top 10k
86.39k packages
in community

Next steps

We strongly advise updating the component to the latest version.
If the update can't resolve the issue, create a plan to isolate or replace the affected component.

Problem

Software composition analysis has identified a component with one or more known vulnerabilities. Based on the CVSS scoring, these vulnerabilities have been marked as high severity.

Prevalence in PyPI community

42 packages
found in
Top 100
278 packages
found in
Top 1k
1960 packages
found in
Top 10k
77.08k packages
in community

Next steps

Perform impact analysis for the reported CVEs.
Update the component to the latest version.
If the update can't resolve the issue, create a plan to isolate or replace the affected component.

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. Bitcoin (BTC) is a digital currency that uses peer-to-peer technology to facilitate instant payments on the web. Bitcoin exchanges allow their customers to trade cryptocurrencies or digital currencies for other assets, such as conventional fiat money or other digital currencies. Financially motivated actors often include references to cryptocurrency exchanges in their code. Ransomware victims are instructed to visit Bitcoin exchanges to acquire the digital currency. Bitcoin is the most common payment method accepted by attackers in exchange for decrypting the user-generated data that is held for ransom. While presence of Bitcoin exchange service references does not imply malicious intent, all of its uses in a software package should be documented and approved. Only select applications should consider keeping track of Bitcoin exchange websites.

Prevalence in PyPI community

2 packages
found in
Top 100
1 packages
found in
Top 1k
22 packages
found in
Top 10k
1.62k 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. 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

Applications communicate with web services by exchanging HTTP requests. During software development, externally hosted services are used by developers to debug software quality issues relating to exchanging HTTP requests. Attackers commonly abuse tools designed for HTTP request inspection to monitor network traffic and extract sensitive information from the HTTP traffic. While the presence of domains related to HTTP inspection does not imply malicious intent, all of their uses in a software package should be documented and approved. Attackers might have purposely injected security testing tools in the software package to monitor the network traffic of the infected computer system. It is also possible that the software package has mistakenly included a part of its testing infrastructure during packaging.

Prevalence in PyPI community

11 packages
found in
Top 100
41 packages
found in
Top 1k
239 packages
found in
Top 10k
11.68k 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.

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)
14 packages
found in
Top 100
98 packages
found in
Top 1k
585 packages
found in
Top 10k
18.68k packages
in community

Prevalence in PyPI community

Behavior often found in this community (Common)
10 packages
found in
Top 100
93 packages
found in
Top 1k
490 packages
found in
Top 10k
15.62k packages
in community

Prevalence in PyPI community

Behavior often found in this community (Common)
11 packages
found in
Top 100
23 packages
found in
Top 1k
143 packages
found in
Top 10k
3.13k packages
in community

Prevalence in PyPI community

Behavior commonly used by malicious software (Important)
Behavior uncommon for this community (Uncommon)
2 packages
found in
Top 100
1 packages
found in
Top 1k
22 packages
found in
Top 10k
1.62k packages
in community

Top vulnerabilities

Vulnerability Exploitation Lifecycle
(22 Active Vulnerabilities)
9 (9 Fixable)
CVE-2023-50782h
CVE-2024-26130h
CVE-2024-39689h
4 (4 Fixable)
CVE-2023-49083h
CVE-2024-27454h
CVE-2024-22195m
None
None
Exploits Unknown
Exploits Exist
Exploited by Malware
Patching Mandated