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failIncident: Malware

Scanned:

tao-subnet-metrics

Artifact:

latest

removed

malicious

Research

Bittensor subnet burn rate monitoring with Telegram alerts

License: unknown

Published:

See on PyPI

SAFE Assessment

Compliance

Licenses

No license compliance issues

Secrets

1 active web service credentials

Security

Vulnerabilities

No known vulnerabilities detected

Hardening

4 low priority mitigations absent

Threats

Tampering

1 malware-like behaviors found

Malware

2 supply chain attack artifacts

INCIDENTS FOR THIS VERSION:

malware

Reported By: Community (VirusTotal)

More info

malware

Reported By: Community (kam193)

More info

removal

Reported By: Community

malware

Reported By: Community (OpenSSF)

More info

malware

Reported By: ReversingLabs (Automated)

Learn more about malware detection

malware

Reported By: ReversingLabs (Researcher)

Learn more about malware detection

malware

Reported By: Community (GitHub Advisory)

More info

Overview issues11 vulnerabilities0 malware3 behaviors10 dependencies0 contributors1 versions1

Popularity

1.07k

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

Threat researchers have manually inspected the software package and determined that it contains one or more malicious files. The detection was made by a hash-based file reputation lookup. This malware detection method is considered highly accurate, and can typically identify the malware family by name.

Prevalence in PyPI community

0 packages

found in

Top 100

0 packages

found in

Top 1k

10 packages

found in

Top 10k

14.02k packages

in community

Next steps

Investigate the build and release environment for software supply chain compromise.

Avoid using this software package.

Problem

Software as a Service (SaaS) platforms expose programmable interfaces to their authenticated users. These web services enable action automation and secure exchange of information. For authorization, users provide a unique token that confirms their access rights to the web service. Access tokens for supported web services are automatically validated via the least privilege APIs the service exposes. Detected tokens have been accepted as valid by the services they are associated with. This indicates they are currently active and may be abused if exposed to the public. Web service access tokens are considered secrets. They should never be included in a software release package, even if they are obfuscated by encryption on the client-side.

Prevalence in PyPI community

0 packages

found in

Top 100

0 packages

found in

Top 1k

2 packages

found in

Top 10k

248 packages

in community

Next steps

You should securely store web service access tokens, and fully automate their management and periodic rotation.

If tokens were published unintentionally and the software has been made public, you should revoke exposed tokens and file a security incident.

Examples of service tokens that may have been detected include AWS, Facebook, JWT, SWT, Slack and others.

Problem

Software components contain executable code that performs actions implemented during its development. These actions are called behaviors. In the analysis report, behaviors are presented as human-readable descriptions that best match the underlying code intent. While most behaviors are benign, some are exclusively used by malicious software with the intent to cause harm. When a software package matches behavior traits of malicious software, it becomes flagged by security solutions. It is highly likely that the software package was tampered with by a malicious actor or a rogue insider. Detected threat type matches the behaviors typically exhibited by the infostealer malware profile. Infostealers are commonly used to steal sensitive user data such as stored login details, financial information, and other personally identifiable information.

Prevalence in PyPI community

0 packages

found in

Top 100

0 packages

found in

Top 1k

3 packages

found in

Top 10k

2.05k packages

in community

Next steps

Top 1k

4564 packages

found in

Top 10k

227.42k packages

in community

Top vulnerabilities

No vulnerabilities found.

FAQ for tao-subnet-metrics

What is tao-subnet-metrics?

Bittensor subnet burn rate monitoring with Telegram alerts.

Is tao-subnet-metrics malicious or is it safe to use?

The Python package tao-subnet-metrics 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. 2 other issues and risky behaviors were 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 tao-subnet-metrics package were malicious.

Is tao-subnet-metrics popular?

The Python package tao-subnet-metrics is not widely used. It has 1K 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 tao-subnet-metrics once it is in my app?

Since we can't know when or where malicious attacks will happen, we recommend tracking how tao-subnet-metrics behaviors change over multiple software releases. By adopting differential analysis in your release process, you can detect unexpected changes to a tao-subnet-metrics 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.

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Popularity

1.07k

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

0 packages

found in

Top 100

0 packages

found in

Top 1k

10 packages

found in

Top 10k

14.02k packages

in community

Next steps

Investigate the build and release environment for software supply chain compromise.

Avoid using this software package.

Problem

Prevalence in PyPI community

0 packages

found in

Top 100

0 packages

found in

Top 1k

2 packages

found in

Top 10k

248 packages

in community

Next steps

You should securely store web service access tokens, and fully automate their management and periodic rotation.

If tokens were published unintentionally and the software has been made public, you should revoke exposed tokens and file a security incident.

Examples of service tokens that may have been detected include AWS, Facebook, JWT, SWT, Slack and others.

Problem

Prevalence in PyPI community

0 packages

found in

Top 100

0 packages

found in

Top 1k

3 packages

found in

Top 10k

2.05k packages

in community

Next steps

Top 1k

4564 packages

found in

Top 10k

227.42k packages

in community

Top vulnerabilities

No vulnerabilities found.

tao-subnet-metrics

SAFE Assessment

Compliance

Security

Threats

IMPORTANT: All versions of this package have been maliciousLatest version with malware incident detected: 3 months agoVersion: 1.0.1

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

SQ30109Detected presence of malicious files through analyst-vetted file reputation.Causes risk: analyst-vetted malware foundthreats

Problem

Prevalence in PyPI community

Next steps

SQ34401Detected presence of active web service tokens.Causes risk: active web service credentialssecrets

Problem

Prevalence in PyPI community

Next steps

TH15108Detected presence of files with behaviors that match the infostealer malware profile.Causes risk: malware-like behaviors foundhunting

Problem

Prevalence in PyPI community

Next steps

Top behaviors

Contains URLs related to the Telegram API.network

Prevalence in PyPI community

Contains URLs related to messaging services.network

Prevalence in PyPI community

Creates shortcuts during installation or upon launch.file

Prevalence in PyPI community

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

Prevalence in PyPI community

Queries the system time.settings

Prevalence in PyPI community

Top vulnerabilities

FAQ for tao-subnet-metrics

What is tao-subnet-metrics?

Is tao-subnet-metrics malicious or is it safe to use?

Is tao-subnet-metrics popular?

How do I secure tao-subnet-metrics 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

SQ30109Detected presence of malicious files through analyst-vetted file reputation.Causes risk: analyst-vetted malware foundthreats

Problem

Prevalence in PyPI community

Next steps

SQ34401Detected presence of active web service tokens.Causes risk: active web service credentialssecrets

Problem

Prevalence in PyPI community

Next steps

TH15108Detected presence of files with behaviors that match the infostealer malware profile.Causes risk: malware-like behaviors foundhunting

Problem

Prevalence in PyPI community

Next steps

Top behaviors

Contains URLs related to the Telegram API.network

Prevalence in PyPI community

Contains URLs related to messaging services.network

Prevalence in PyPI community

Creates shortcuts during installation or upon launch.file

Prevalence in PyPI community

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

Prevalence in PyPI community

Queries the system time.settings

Prevalence in PyPI community