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Scanned: 6 days ago

rl-deploy

Artifact:
latest
key project
Deployment tool for ReversingLabs rl-secure project.
License: unknown
New!
Published: 6 days ago
See on PyPI

SAFE Assessment

Compliance

Licenses
No license compliance issues
Secrets
No sensitive information found

Security

Vulnerabilities
No known vulnerabilities detected
Hardening
No application hardening issues

Threats

Tampering
No evidence of software tampering
Malware
No evidence of malware inclusion

Popularity

54.37k
Total Downloads
1
Contributor
0
Declared Dependencies
0
Dependents

Top issues

See all issues

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. While a new software project is a welcome addition to the open source community. it is not always prudent to indiscriminately use the latest components when building a commercial application. Irrespective of the software quality, the danger of using components that are rarely used to build applications lies in the fact that the software component may contain novel, currently undetected malicious code. Therefore, it is prudent to review software component behaviors and even try out software component in a sandbox, an environment meant for testing untrusted code.

Prevalence in PyPI community

No prevalence information at this time

Next steps

Check the software component behaviors for anomalies.
Consider exploratory software component testing within a sandbox environment.
Consider replacing the software component with a more widely used alternative.
Avoid using this software package until it is vetted as safe.

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. Open source communities depend on the work of thousands of software developers that volunteer their time to maintain software components. Software developers build up the reputation of their open source projects by developing in public. Modern source code repositories have many social features that allow software developers to handle bug reports, have discussions with their users, and convey reaching significant project milestones. It is uncommon to find open source projects that omit linking their component to a publicly accessible source code repository.

Prevalence in PyPI community

No prevalence information at this time

Next steps

Check the software component behaviors for anomalies.
Consider exploratory software component testing within a sandbox environment.
Consider replacing the software component with a more widely used alternative.
Avoid using this software package until it is vetted as safe.

Problem

Control Flow Guard (CFG/CFI) protects the code flow integrity by ensuring that dynamic calls are made only to vetted functions. This mitigation is detected as enabled, but its effectiveness is impacted by unexpected function alignment. For optimal protection, guarded functions must be aligned to the 16-byte boundary. Any misalignment leaves a small window for the malicious code to take advantage of an improperly secured code flow path.

Prevalence in PyPI community

0 packages
found in
Top 100
4 packages
found in
Top 1k
26 packages
found in
Top 10k
326 packages
in community

Next steps

There are currently no programming language toolchain options to force proper function alignment. If this warning is issued for a file, it is likely that a future build, with some code changes, will make the compiler order the application code differently and eliminate the CFG coverage gaps.

Top behaviors

See all behaviors

Prevalence in PyPI community

Behavior often found in this community (Common)
2 packages
found in
Top 100
20 packages
found in
Top 1k
125 packages
found in
Top 10k
2532 packages
in community

Prevalence in PyPI community

Behavior uncommon for this community (Uncommon)
1 packages
found in
Top 100
19 packages
found in
Top 1k
129 packages
found in
Top 10k
2361 packages
in community

Prevalence in PyPI community

Behavior uncommon for this community (Uncommon)
1 packages
found in
Top 100
14 packages
found in
Top 1k
102 packages
found in
Top 10k
2098 packages
in community

Prevalence in PyPI community

Behavior often found in this community (Common)
3 packages
found in
Top 100
8 packages
found in
Top 1k
48 packages
found in
Top 10k
821 packages
in community

Prevalence in PyPI community

Behavior often found in this community (Common)
68 packages
found in
Top 100
508 packages
found in
Top 1k
3570 packages
found in
Top 10k
165477 packages
in community

Top vulnerabilities

No vulnerabilities found.

FAQ for rl-deploy

What is rl-deploy?

Deployment tool for ReversingLabs rl-secure project.

Is rl-deploy malicious or is it safe to use?

The Python package rl-deploy was scanned for malware, software tampering, risky behaviors, exposed secrets and known vulnerabilities. No risks were detected, therefore, this version of the package is currently considered as safe to use. Caution is advised as this package is still in review by ReversingLabs threat researchers for inclusion of novel supply chain threats.

Is rl-deploy popular?

The Python package rl-deploy is classified as a key project because of its widespread usage and impact. It has 54K 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 rl-deploy once it is in my app?

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