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failIncident: Malware

Scanned:

ai-labs-snippets-sdk

Artifact:

latest

removed

malicious

Research

AI Labs Snippets SDK for Python

License: Permissive (MIT)

Published:

See on PyPI

SAFE Assessment

Compliance

Licenses

No license compliance issues

Secrets

No sensitive information found

Security

Vulnerabilities

1 severe vulnerabilities exploited

Hardening

No application hardening issues

Threats

Tampering

1 components prone to hijacking

Malware

1 supply chain attack artifacts

INCIDENTS FOR THIS VERSION:

removal

Reported By: Community

malware

Reported By: ReversingLabs (Researcher)

See more info on our blog

malware

Reported By: ReversingLabs (Automated)

Learn more about malware detection

malware

Reported By: Community (OpenSSF)

More info

malware

Reported By: Community (Snyk)

More info

malware

N/AReported By: Community (kam193)

More info

Overview issues10 vulnerabilities25 malware3 behaviors4 dependencies1 contributors1 versions12

Popularity

2.54k

Total Downloads

Contributor

Declared Dependencies

Dependents

Top issues

See all issues

Problem

Potentially unwanted applications (PUAs) can be considered a risk by some software users. This threat type typically collects private user data, or in more extreme cases, tampers with system security settings. Most threat prevention solutions detect and block PUAs. Software packages that trigger security solution detections also tend to increase the number of support calls and open tickets from users.

Prevalence in PyPI community

0 packages

found in

Top 100

3 packages

found in

Top 1k

54 packages

found in

Top 10k

1.75k packages

in community

Next steps

Revise the use of components that raise these alarms. If you can't deprecate those components, make sure they are well-documented.

Problem

Proprietary ReversingLabs malware detection algorithms have determined that the software package contains one or more malicious components. The detection was made by either a static byte signature, software component identity, or a complete file hash. This malware detection method is considered highly accurate, and can typically attribute malware to previously discovered software supply chain attacks. It is common to have multiple supply chain attack artifacts that relate to a single malware incident.

Prevalence in PyPI community

0 packages

found in

Top 100

0 packages

found in

Top 1k

11 packages

found in

Top 10k

14.01k packages

in community

Next steps

If the software intent does not relate to malicious behavior, investigate the build and release environment for software supply chain compromise.

Avoid using this software package.

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

Software developers use programming and design knowledge to build reusable software components. Software components are the basic building blocks for modern applications. Software consumed by an enterprise consists of hundreds, and sometimes even thousands of open source components. Software developers publish components they have authored to public repositories. Open source projects are the intellectual property of their respective authors. At any time, the authors may choose to completely remove the software component from a public repository. This often occurs when a software project reaches its end-of-life stage, or when the software authors lose interest in maintaining the project. This kind of removal frees up the software package name, its unique software identifier in the public repository, for other developers to use. However, new software project owners might have malicious intent. Threat actors are continuously monitoring popular package names in case their unique identifiers suddenly become available for hijacking. Once the software projects falls under new ownership, the new maintainers may opt to use the project popularity to spread malware to unsuspecting users.

Prevalence in PyPI community

0 packages

found in

Top 100

1 packages

found in

Top 1k

20 packages

found in

Top 10k

83.87k packages

in community

Next steps

CVE-2025-55553h

12 (2 Fixable)

CVE-2026-24747h

CVE-2025-2998m

CVE-2025-2999m

None

Exploits Unknown

Exploits Exist

Exploited by Malware

Patching Mandated

FAQ for ai-labs-snippets-sdk

What is ai-labs-snippets-sdk?

AI Labs Snippets SDK for Python. For more information about this package, visit its homepage.

Is ai-labs-snippets-sdk malicious or is it safe to use?

The Python package ai-labs-snippets-sdk has been removed from registry. It was scanned for malware, software tampering, risky behaviors, exposed secrets and known vulnerabilities. Malware or tampering has been detected, making it unsafe to use. 1 other issue and risky behavior was found. The package contains risks, and the analysis results should be reviewed before it is used. Visit the Issues and Behaviors sections of the analysis for more details. All versions of the ai-labs-snippets-sdk package were malicious.

Is ai-labs-snippets-sdk popular?

The Python package ai-labs-snippets-sdk is not widely used. It has 3K recorded downloads. A package's popularity is not a good indicator of its safety, visit the SAFE Assessment section to see the full analysis of package deployment risk categories.

How do I secure ai-labs-snippets-sdk once it is in my app?

Since we can't know when or where malicious attacks will happen, we recommend tracking how ai-labs-snippets-sdk behaviors change over multiple software releases. By adopting differential analysis in your release process, you can detect unexpected changes to a ai-labs-snippets-sdk version, which can prevent advanced software supply chain attacks. Read how our technology can help prevent future attacks similar to SolarWinds and 3CX.

Did you know...

... that you can use ReversingLabs’ Spectra Assure platform to perform regular risk assessments of packages you develop in-house?

We recommend continuous software safeness monitoring through CI/CD integrations and pre-release/deployment checks. In addition to basic package information found on this page our platform offers rich reports for developers and DevSecOps that help them remediate all reported issues.

This website uses cookies to ensure the best website experience. By continuing to use this website you are giving your consent to cookies being used. Detailed information about our use of cookies is here.

Popularity

2.54k

Total Downloads

Contributor

Declared Dependencies

Dependents

Top issues

See all issues

Problem

Prevalence in PyPI community

0 packages

found in

Top 100

3 packages

found in

Top 1k

54 packages

found in

Top 10k

1.75k packages

in community

Next steps

Revise the use of components that raise these alarms. If you can't deprecate those components, make sure they are well-documented.

Problem

Prevalence in PyPI community

0 packages

found in

Top 100

0 packages

found in

Top 1k

11 packages

found in

Top 10k

14.01k packages

in community

Next steps

If the software intent does not relate to malicious behavior, investigate the build and release environment for software supply chain compromise.

Avoid using this software package.

Problem

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

Prevalence in PyPI community

0 packages

found in

Top 100

1 packages

found in

Top 1k

20 packages

found in

Top 10k

83.87k packages

in community

Next steps

CVE-2025-55553h

12 (2 Fixable)

CVE-2026-24747h

CVE-2025-2998m

CVE-2025-2999m

None

Exploits Unknown

Exploits Exist

Exploited by Malware

Patching Mandated

ai-labs-snippets-sdk

SAFE Assessment

Compliance

Security

Threats

IMPORTANT: All versions of this package have been maliciousLatest version with malware incident detected: about 1 year agoVersion: 3.5.0

INCIDENTS FOR THIS VERSION:

Popularity

Top issues

SQ30103Detected presence of potentially unwanted applications.Causes risk: undesirable applications foundthreats

Problem

Prevalence in PyPI community

Next steps

SQ30105Detected presence of known software supply chain attack artifacts.Causes risk: supply chain attack artifactsthreats

Problem

Prevalence in PyPI community

Next steps

SQ31102Detected presence of severe vulnerabilities with active exploitation.Causes risk: actively exploited vulnerabilitiesvulnerabilities

Problem

Prevalence in PyPI community

Next steps

SQ31105Detected presence of high severity vulnerabilities.Causes risk: high severity vulnerabilitiesvulnerabilities

Problem

Prevalence in PyPI community

Next steps

TH30103Detected presence of software components that were removed from the public package repository.Causes risk: components prone to hijackinghunting

Problem

Prevalence in PyPI community

Next steps

Top behaviors

The software package does not declare any source code repository.anomaly

Prevalence in PyPI community

Imports the "torch" (PyTorch) module, which is a machine learning framework based on the Torch library.execution

Prevalence in PyPI community

Imports the "os" module, which contains miscellaneous operating system interfaces.execution

Prevalence in PyPI community

Creates/Opens a file.file

Prevalence in PyPI community

Top vulnerabilities

FAQ for ai-labs-snippets-sdk

What is ai-labs-snippets-sdk?

Is ai-labs-snippets-sdk malicious or is it safe to use?

Is ai-labs-snippets-sdk popular?

How do I secure ai-labs-snippets-sdk once it is in my app?

Did you know...

Popularity

Top issues

SQ30103Detected presence of potentially unwanted applications.Causes risk: undesirable applications foundthreats

Problem

Prevalence in PyPI community

Next steps

SQ30105Detected presence of known software supply chain attack artifacts.Causes risk: supply chain attack artifactsthreats

Problem

Prevalence in PyPI community

Next steps

SQ31102Detected presence of severe vulnerabilities with active exploitation.Causes risk: actively exploited vulnerabilitiesvulnerabilities

Problem

Prevalence in PyPI community

Next steps

SQ31105Detected presence of high severity vulnerabilities.Causes risk: high severity vulnerabilitiesvulnerabilities

Problem

Prevalence in PyPI community

Next steps

TH30103Detected presence of software components that were removed from the public package repository.Causes risk: components prone to hijackinghunting

Problem

Prevalence in PyPI community

Next steps

Top behaviors

The software package does not declare any source code repository.anomaly

Prevalence in PyPI community

Imports the "torch" (PyTorch) module, which is a machine learning framework based on the Torch library.execution

Prevalence in PyPI community

Imports the "os" module, which contains miscellaneous operating system interfaces.execution

Prevalence in PyPI community

Creates/Opens a file.file

Prevalence in PyPI community

Top vulnerabilities