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Quarantine

Scanned:

python-aiogram-telegram-updater

Artifact:

latest

malicious

Research

Opis mojej paczki

License: unknown

Published:

See on PyPI

SAFE Assessment

Compliance

Licenses

No license compliance issues

Secrets

1 inactive web service credentials

Security

Vulnerabilities

No known vulnerabilities detected

Hardening

No application hardening issues

Threats

Tampering

2 malware-like behaviors found

Malware

3 supply chain attack artifacts

INCIDENTS FOR THIS VERSION:

malware

Reported By: ReversingLabs (Researcher)

Learn more about malware detection

Overview issues11 vulnerabilities0 malware3 behaviors26 dependencies0 contributors0 versions2

Popularity

397

Total Downloads

Contributors

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 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 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

Investigate reported detections.

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

You should delay the software release until the investigation is completed.

In the case this behavior is intended, rewrite the flagged code without using the malware-like behaviors.

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.

Top behaviors

See all behaviors

Prevalence in PyPI community

Behavior often found in this community (Common)

23 packages

found in

Top 100

129 packages

found in

Top 1k

1177 packages

found in

Top 10k

46.1k packages

in community

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)

22 packages

found in

Top 100

78 packages

found in

Top 1k

407 packages

found in

Top 10k

12.62k packages

in community

Prevalence in PyPI community

Behavior often found in this community (Common)

9 packages

found in

Top 100

64 packages

found in

Top 1k

343 packages

found in

Top 10k

11.88k packages

in community

Top vulnerabilities

No vulnerabilities found.

FAQ for python-aiogram-telegram-updater

What is python-aiogram-telegram-updater?

Opis mojej paczki.

Is python-aiogram-telegram-updater malicious or is it safe to use?

The Python package python-aiogram-telegram-updater 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. All versions of the python-aiogram-telegram-updater package were malicious.

Is python-aiogram-telegram-updater popular?

The Python package python-aiogram-telegram-updater is not widely used. It has 397 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 python-aiogram-telegram-updater once it is in my app?

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

397

Total Downloads

Contributors

Declared Dependencies

Dependents

Top issues

See all issues

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

3 packages

found in

Top 10k

2.05k packages

in community

Next steps

Investigate reported detections.

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

You should delay the software release until the investigation is completed.

In the case this behavior is intended, rewrite the flagged code without using the malware-like behaviors.

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

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.

Top behaviors

See all behaviors

Prevalence in PyPI community

Behavior often found in this community (Common)

23 packages

found in

Top 100

129 packages

found in

Top 1k

1177 packages

found in

Top 10k

46.1k packages

in community

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)

22 packages

found in

Top 100

78 packages

found in

Top 1k

407 packages

found in

Top 10k

12.62k packages

in community

Prevalence in PyPI community

Behavior often found in this community (Common)

9 packages

found in

Top 100

64 packages

found in

Top 1k

343 packages

found in

Top 10k

11.88k packages

in community

Top vulnerabilities

No vulnerabilities found.

python-aiogram-telegram-updater

SAFE Assessment

Compliance

Security

Threats

IMPORTANT: All versions of this package have been maliciousLatest version with malware incident detected: 6 months agoVersion: 1.0

INCIDENTS FOR THIS VERSION:

Popularity

Top issues

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

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

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

Top behaviors

Connects through HTTP.network

Prevalence in PyPI community

Creates a process.execution

Prevalence in PyPI community

Renames a file or directory.file

Prevalence in PyPI community

Adds files to a Zip archive.file

Prevalence in PyPI community

Queries the login name of the user.search

Prevalence in PyPI community

Top vulnerabilities

FAQ for python-aiogram-telegram-updater

What is python-aiogram-telegram-updater?

Is python-aiogram-telegram-updater malicious or is it safe to use?

Is python-aiogram-telegram-updater popular?

How do I secure python-aiogram-telegram-updater once it is in my app?

Did you know...

Popularity

Top issues

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

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

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

Top behaviors

Connects through HTTP.network

Prevalence in PyPI community

Creates a process.execution

Prevalence in PyPI community

Renames a file or directory.file

Prevalence in PyPI community

Adds files to a Zip archive.file

Prevalence in PyPI community

Queries the login name of the user.search

Prevalence in PyPI community