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failIncident: Malware
Scanned: 11 days ago

getdaft

Artifact:
malicious
Top 10k
Distributed Dataframes for Multimodal Data
License: unknown
Published: 10 months ago
Visit Github
See on PyPI

SAFE Assessment

Compliance

Licenses
No license compliance issues
Secrets
No sensitive information found

Security

Vulnerabilities
2 severe vulnerabilities exploited
Hardening
2 low priority mitigations absent

Threats

Tampering
No evidence of software tampering
Malware
1 undesirable dependencies found

INCIDENTS FOR THIS VERSION:

malware
about 1 month agoReported By: ReversingLabs (Automated)
Learn more about malware detection

Popularity

4.88M
Total Downloads
2
Contributors
21
Declared Dependencies
23
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. Some software dependencies may be optional, and could be installed or downloaded only if a certain pre-defined condition is met. When software dependencies are confirmed to be found within the software package, additional issues might also be reported. 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
0 packages
found in
Top 1k
4 packages
found in
Top 10k
43 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

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

38 packages
found in
Top 100
303 packages
found in
Top 1k
2611 packages
found in
Top 10k
103184 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 critical severity.

Prevalence in PyPI community

25 packages
found in
Top 100
212 packages
found in
Top 1k
1951 packages
found in
Top 10k
77976 packages
in community

Next steps

Perform impact analysis for the reported CVEs.
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

50 packages
found in
Top 100
352 packages
found in
Top 1k
2858 packages
found in
Top 10k
108771 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

Control Flow Guard (CFG/CFI) protects the code flow integrity by ensuring that dynamic calls are made only to vetted functions. Trusted execution paths rely on the ability of the operating system to build a list of valid function targets. Certain functions can intentionally be disallowed to prevent malicious code from deactivating vulnerability mitigation features. A list of such invalid function targets can include publicly exported symbols. Applications that enhance control flow integrity through export suppression rely on libraries to mark their publicly visible symbols as suppressed. This is done for all symbols that are considered to be sensitive functions, and to which access should be restricted. It is considered dangerous to mix applications that perform export suppression with libraries that do not.

Prevalence in PyPI community

26 packages
found in
Top 100
130 packages
found in
Top 1k
732 packages
found in
Top 10k
14459 packages
in community

Next steps

To enable this mitigation on library code, refer to your programming language toolchain documentation.
In Microsoft VisualStudio, you can enable CFG mitigation by passing the /guard:cf parameter to the compiler and linker.

Top behaviors

See all behaviors

Prevalence in PyPI community

Behavior often found in this community (Common)
13 packages
found in
Top 100
99 packages
found in
Top 1k
566 packages
found in
Top 10k
19246 packages
in community

Prevalence in PyPI community

Behavior often found in this community (Common)
9 packages
found in
Top 100
94 packages
found in
Top 1k
476 packages
found in
Top 10k
16117 packages
in community

Prevalence in PyPI community

Behavior often found in this community (Common)
8 packages
found in
Top 100
64 packages
found in
Top 1k
281 packages
found in
Top 10k
8972 packages
in community

Prevalence in PyPI community

Behavior often found in this community (Common)
9 packages
found in
Top 100
75 packages
found in
Top 1k
309 packages
found in
Top 10k
9292 packages
in community

Prevalence in PyPI community

Behavior often found in this community (Common)
23 packages
found in
Top 100
112 packages
found in
Top 1k
620 packages
found in
Top 10k
10791 packages
in community

Top vulnerabilities

See all vulnerabilities
Vulnerability Exploitation Lifecycle
(2 Active Vulnerabilities)
None
2 (2 Fixable)
CVE-2022-37434c
CVE-2018-25032h
None
None
Exploits Unknown
Exploits Exist
Exploited by Malware
Patching Mandated

FAQ for getdaft

What is getdaft?

Distributed Dataframes for Multimodal Data.

Is getdaft malicious or is it safe to use?

The Python package getdaft 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 getdaft had 10 incidents in versions published within 2 years prior to the latest.

Is getdaft popular?

The Python package getdaft ranks among the top 10000 projects in this community. It has 5M 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 getdaft once it is in my app?

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