Spectra Assure
Community
warningRisk: Secrets
Scanned: 1 day ago

sideload-linux-x64-72-binding-bin-67643171e41b4d34e4681dcb

Artifact:
latest
Sideloaded package
License: unknown
Published: about 1 year ago
See on PyPI

SAFE Assessment

Compliance

Licenses
No license compliance issues
Secrets
1 debugging symbols found

Security

Vulnerabilities
No known vulnerabilities detected
Hardening
1 execution hijacking concerns

Threats

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

Popularity

941
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 being the first to try out a new project 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

1 packages
found in
Top 100
13 packages
found in
Top 1k
37 packages
found in
Top 10k
443.06k packages
in community

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. 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

1 packages
found in
Top 100
11 packages
found in
Top 1k
910 packages
found in
Top 10k
717.09k packages
in community

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

70 packages
found in
Top 100
472 packages
found in
Top 1k
4207 packages
found in
Top 10k
413.79k packages
in community

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

On Linux, external symbols are resolved via the procedure linkage table (PLT) and the global offset table (GOT). Without any protection, both are writable at runtime and thus leave the executable vulnerable to pointer hijacking - an attack where the function address is overwritten with an address of a malicious function. Pointer hijacking can be mitigated by using full read-only relocations, which instruct the compiler to unify global offset tables into a single read-only table. This requires that all external function symbols are resolved at load-time instead of during execution, and may increase loading time for large programs.

Prevalence in PyPI community

26 packages
found in
Top 100
135 packages
found in
Top 1k
847 packages
found in
Top 10k
17.09k packages
in community

Next steps

In most cases, it's recommended to use full read-only relocations (in GCC: -Wl,-z,relro,-z,now).
If the executable load-time is an issue, you should use partial read-only relocations.

Problem

Common compilers often embed source code information into executables for debugging purposes, usually by mapping symbols to source filenames or paths. While this is typically desirable in open-source software and standard tools, that information can be used to determine security weaknesses, code repository layout, trade secrets and similar sensitive information. Such symbols make it easier to reverse-engineer a closed source application.

Prevalence in PyPI community

27 packages
found in
Top 100
138 packages
found in
Top 1k
922 packages
found in
Top 10k
19.5k packages
in community

Next steps

Strip out such information in the linking phase by using compiler options like the -s flag in GCC, or in the post-build phase by using the strip tool.

Top behaviors

See all behaviors

Prevalence in PyPI community

Behavior often found in this community (Common)
33 packages
found in
Top 100
225 packages
found in
Top 1k
1322 packages
found in
Top 10k
35.04k packages
in community

Prevalence in PyPI community

Behavior often found in this community (Common)
44 packages
found in
Top 100
256 packages
found in
Top 1k
1486 packages
found in
Top 10k
44.91k packages
in community

Prevalence in PyPI community

Behavior often found in this community (Common)
70 packages
found in
Top 100
472 packages
found in
Top 1k
4207 packages
found in
Top 10k
413.79k packages
in community

Prevalence in PyPI community

Behavior often found in this community (Common)
17 packages
found in
Top 100
107 packages
found in
Top 1k
741 packages
found in
Top 10k
19.35k packages
in community

Prevalence in PyPI community

Behavior often found in this community (Common)
37 packages
found in
Top 100
171 packages
found in
Top 1k
1054 packages
found in
Top 10k
23.27k packages
in community

Top vulnerabilities

No vulnerabilities found.

FAQ for sideload-linux-x64-72-binding-bin-67643171e41b4d34e4681dcb

What is sideload-linux-x64-72-binding-bin-67643171e41b4d34e4681dcb?

Sideloaded package.

Is sideload-linux-x64-72-binding-bin-67643171e41b4d34e4681dcb malicious or is it safe to use?

The Python package sideload-linux-x64-72-binding-bin-67643171e41b4d34e4681dcb was scanned for malware, software tampering, risky behaviors, exposed secrets and known vulnerabilities. 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.

Is sideload-linux-x64-72-binding-bin-67643171e41b4d34e4681dcb popular?

The Python package sideload-linux-x64-72-binding-bin-67643171e41b4d34e4681dcb is not widely used. It has 941 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 sideload-linux-x64-72-binding-bin-67643171e41b4d34e4681dcb once it is in my app?

Since we can't know when or where malicious attacks will happen, we recommend tracking how sideload-linux-x64-72-binding-bin-67643171e41b4d34e4681dcb behaviors change over multiple software releases. By adopting differential analysis in your release process, you can detect unexpected changes to a sideload-linux-x64-72-binding-bin-67643171e41b4d34e4681dcb 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.