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Quarantine

Scanned:

telegram-helper

Artifact:

latest

malicious

A minimal example Python library.

License: Permissive (MIT)

New!

Published:

Visit GitHub

See on PyPI

SAFE Assessment

Compliance

Licenses

No license compliance issues

Secrets

1 active web service credentials

Security

Vulnerabilities

No known vulnerabilities detected

Hardening

No application hardening issues

Threats

Tampering

1 quarantined components found

Malware

1 malicious components found

INCIDENTS FOR THIS VERSION:

malware

Reported By: ReversingLabs (Automated)

Learn more about malware detection

Overview issues10 vulnerabilities0 malware1 behaviors35 dependencies0 contributors1 versions2

Popularity

N/A

Total Downloads

Contributor

Declared Dependencies

Dependents

Top issues

See all issues

Problem

Proprietary ReversingLabs malware detection algorithms have determined that the software package contains one or more malicious files. The detection was made by a machine learning model. This malware detection method is considered proactive, and can typically identify the malware threat type. The detection is strongly influenced by behaviors that software components exhibit. Behaviors similar to previously discovered malware and software supply chain attacks may cause some otherwise benign components to be detected as malicious.

Prevalence in PyPI community

0 packages

found in

Top 100

2 packages

found in

Top 1k

10 packages

found in

Top 10k

328 packages

in community

Next steps

Inspect behaviors exhibited by the detected software components.

If the software behaviors differ from expected, investigate the build and release environment for software supply chain compromise.

Avoid using this software package until it is vetted as safe.

Consider rewriting code that may have triggered the detection due to its malware similarity.

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 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. The ReversingLabs community package index may place software packages into quarantine during an ongoing security incident investigation. When a software project is placed into quarantine, it is typically unavailable for installation. Additionally, repository maintainers may also hide quarantined software projects from users that might stumble upon them using repository search functions. Quarantine is typically raised for software projects that were reported for unusual code changes or unexpected software behaviors.

Prevalence in PyPI community

No prevalence information at this time

Next steps

Inspect behaviors exhibited by the detected software components.

If the software behaviors differ from expected, investigate the build and release environment for software supply chain compromise.

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

Avoid using this software package until it is vetted as safe.

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. Python Package Index (PyPI) repository is often abused by threat actors to publish software packages that exhibit malicious behaviors. Malware authors use numerous tactics to lure developers into including malicious PyPI packages in their software projects. Most malicious packages published on PyPI target developers and their workstations. However, some are designed to activate only when deployed in the end-user environment. Both types of Python malicious packages are detected by proprietary ReversingLabs threat hunting algorithms. This detection method is considered proactive, and it is based on Machine Learning (ML) algorithms that can detect novel malware. The detection is strongly influenced by behaviors that software components exhibit. Behaviors similar to previously discovered malware and software supply chain attacks may cause some otherwise benign software packages to be detected by this policy.

Prevalence in PyPI community

1 packages

found in

Top 100

18 packages

found in

Top 1k

104 packages

found in

Top 10k

16.5k packages

in community

Next steps

Investigate reported detections.

If the software intent does not relate to the reported behavior, 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 rewriting the flagged code without using the marked behaviors.

Problem

Software components are typically distributed in standardized packaging formats. Software packages are built from instructions written within package manifests that act as blueprints for package assembly. A package manifest declares the most important software properties, such as the package name, its authors and license, external dependencies, and various actions that may occur during the package lifecycle. Package managers are specialized tools used by developers to manage software components. Package managers read these manifests to deploy software components along with their dependencies. The premise of the package management system is that software components are isolated from each other, and that they rely on the package manager to provide their dependencies. However, it was detected that a software component includes code capable of accessing or modifying directories that are maintained exclusively by package managers. This is unusual as it resembles tactics used by threat actors that tamper with installed software components and inject malicious code into trusted execution paths.

Prevalence in PyPI community

No prevalence information at this time

Next steps

Investigate reported detections as indicators of software tampering.

Consult Mitre ATT&CK documentation: T1554 - Compromise Host Software Binary.

Consider rewriting the flagged code without using the marked behaviors.

Top behaviors

See all behaviors

Prevalence in PyPI community

No behavior prevalence information at this time

Prevalence in PyPI community

Behavior often found in this community (Common)

69 packages

found in

Top 100

506 packages

found in

Top 1k

3612 packages

found in

Top 10k

163.85k packages

in community

Prevalence in PyPI community

Behavior often found in this community (Common)

68 packages

found in

Top 100

540 packages

found in

Top 1k

3680 packages

found in

Top 10k

150.76k packages

in community

Prevalence in PyPI community

Behavior often found in this community (Common)

68 packages

found in

Top 100

533 packages

found in

Top 1k

3858 packages

found in

Top 10k

146.15k packages

in community

Prevalence in PyPI community

Behavior often found in this community (Common)

22 packages

found in

Top 100

78 packages

found in

Top 1k

407 packages

found in

Top 10k

12.62k packages

in community

Top vulnerabilities

No vulnerabilities found.

FAQ for telegram-helper

What is telegram-helper?

A minimal example Python library.

Is telegram-helper malicious or is it safe to use?

The Python package telegram-helper was scanned for malware, software tampering, risky behaviors, exposed secrets and known vulnerabilities. Malware or tampering has been detected, making it unsafe to download and use. 2 other issues and risky behaviors were found. The package contains risks, and the analysis results should be reviewed before it is downloaded and used. Visit the Issues and Behaviors sections of the analysis for more details. The package telegram-helper had 2 incidents in versions published within 2 years prior to the latest.

Is telegram-helper popular?

The Python package telegram-helper is not widely used. 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 telegram-helper once it is in my app?

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

N/A

Total Downloads

Contributor

Declared Dependencies

Dependents

Top issues

See all issues

Problem

Prevalence in PyPI community

0 packages

found in

Top 100

2 packages

found in

Top 1k

10 packages

found in

Top 10k

328 packages

in community

Next steps

Inspect behaviors exhibited by the detected software components.

If the software behaviors differ from expected, investigate the build and release environment for software supply chain compromise.

Avoid using this software package until it is vetted as safe.

Consider rewriting code that may have triggered the detection due to its malware similarity.

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

No prevalence information at this time

Next steps

Inspect behaviors exhibited by the detected software components.

If the software behaviors differ from expected, investigate the build and release environment for software supply chain compromise.

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

Avoid using this software package until it is vetted as safe.

Problem

Prevalence in PyPI community

1 packages

found in

Top 100

18 packages

found in

Top 1k

104 packages

found in

Top 10k

16.5k packages

in community

Next steps

Investigate reported detections.

If the software intent does not relate to the reported behavior, 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 rewriting the flagged code without using the marked behaviors.

Problem

Prevalence in PyPI community

No prevalence information at this time

Next steps

Investigate reported detections as indicators of software tampering.

Consult Mitre ATT&CK documentation: T1554 - Compromise Host Software Binary.

Consider rewriting the flagged code without using the marked behaviors.

Top behaviors

See all behaviors

Prevalence in PyPI community

No behavior prevalence information at this time

Prevalence in PyPI community

Behavior often found in this community (Common)

69 packages

found in

Top 100

506 packages

found in

Top 1k

3612 packages

found in

Top 10k

163.85k packages

in community

Prevalence in PyPI community

Behavior often found in this community (Common)

68 packages

found in

Top 100

540 packages

found in

Top 1k

3680 packages

found in

Top 10k

150.76k packages

in community

Prevalence in PyPI community

Behavior often found in this community (Common)

68 packages

found in

Top 100

533 packages

found in

Top 1k

3858 packages

found in

Top 10k

146.15k packages

in community

Prevalence in PyPI community

Behavior often found in this community (Common)

22 packages

found in

Top 100

78 packages

found in

Top 1k

407 packages

found in

Top 10k

12.62k packages

in community

Top vulnerabilities

No vulnerabilities found.

telegram-helper

SAFE Assessment

Compliance

Security

Threats

IMPORTANT: This package had 2 malicious incidents in versions published within 2 years prior to the latestLatest version with malware incident detected: about 2 hours agoVersion: 0.1.2

INCIDENTS FOR THIS VERSION:

Popularity

Top issues

SQ30108Detected presence of malicious files by a machine learning algorithm.Causes risk: malicious components 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

TH30102Detected presence of software components that are quarantined in the community package index.Causes risk: quarantined components foundhunting

Problem

Prevalence in PyPI community

Next steps

TH15501Detected presence of files with behaviors similar to malicious packages published on PyPI.Causes risk: suspicious application behaviorshunting

Problem

Prevalence in PyPI community

Next steps

TH16129Detected presence of software components that can tamper with other installed software.hunting

Problem

Prevalence in PyPI community

Next steps

Top behaviors

Writes to directories managed by package managers.file

Prevalence in PyPI community

Creates a process.execution

Prevalence in PyPI community

Renames a file or directory.file

Prevalence in PyPI community

Deletes a file/directory.file

Prevalence in PyPI community

Adds files to a Zip archive.file

Prevalence in PyPI community

Top vulnerabilities

FAQ for telegram-helper

What is telegram-helper?

Is telegram-helper malicious or is it safe to use?

Is telegram-helper popular?

How do I secure telegram-helper once it is in my app?

Did you know...

Popularity

Top issues

SQ30108Detected presence of malicious files by a machine learning algorithm.Causes risk: malicious components 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

TH30102Detected presence of software components that are quarantined in the community package index.Causes risk: quarantined components foundhunting

Problem

Prevalence in PyPI community

Next steps

TH15501Detected presence of files with behaviors similar to malicious packages published on PyPI.Causes risk: suspicious application behaviorshunting

Problem

Prevalence in PyPI community

Next steps

TH16129Detected presence of software components that can tamper with other installed software.hunting

Problem

Prevalence in PyPI community

Next steps

Top behaviors

Writes to directories managed by package managers.file

Prevalence in PyPI community

Creates a process.execution

Prevalence in PyPI community

Renames a file or directory.file

Prevalence in PyPI community

Deletes a file/directory.file

Prevalence in PyPI community

Adds files to a Zip archive.file

Prevalence in PyPI community