Spectra Assure

warningRisk: Hardening

Scanned:

pure-magic-rs

Artifact:

latest

Python bindings for pure-magic crate, a pure Rust re-implementation of libmagic

License: unknown

New!

Published:

SAFE Assessment

Compliance

Licenses

No license compliance issues

Secrets

No sensitive information found

Security

Vulnerabilities

No known vulnerabilities detected

Hardening

2 misconfigured toolchains detected

Threats

Tampering

No evidence of software tampering

Malware

No evidence of malware inclusion

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List of software quality issues with the number of affected components.

Policies

Info

Category

Problem

Security Development Lifecycle (SDL) is a group of enhanced compile-time checks that report common coding mistakes as errors, preventing them from reaching production. These checks minimize the number of security issues by enforcing strict memory access checks. They also prevent the use of hard-to-secure string and memory manipulation functions. To prove the binary has been compiled with these checks enabled, the compiler emits a special debug object. Removing the debug table eliminates this proof. Therefore, this check only applies to binaries that still have their debug tables.

Prevalence in PyPI community

12 packages

found in

Top 100

63 packages

found in

Top 1k

326 packages

found in

Top 10k

7.08k packages

in community

Next steps

You should keep the debug table to prove that the SDL process has been followed.

To enable these checks, refer to your programming language toolchain documentation.

In Microsoft VisualStudio, you can enable this feature by setting the compiler option /SDL to ON.

Problem

Security Development Lifecycle (SDL) is a group of enhanced compile-time checks that report common coding mistakes as errors. These checks prevent the use of hard-to-secure memory manipulation functions. They enforce static memory access checks, and allow only the use of range-verified memory access functions. While these checks do not prevent every memory corruption issue by themselves, they do help reduce the likelihood.

Prevalence in PyPI community

4 packages

found in

Top 100

45 packages

found in

Top 1k

242 packages

found in

Top 10k

5.25k packages

in community

Next steps

It's highly recommended to enable these checks for all software components used at security boundaries, or those that process user controlled inputs.

To enable these checks, refer to your programming language toolchain documentation.

In Microsoft VisualStudio, you can enable this feature by setting the compiler option /SDL to ON.

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

30 packages

found in

Top 100

143 packages

found in

Top 1k

833 packages

found in

Top 10k

15.19k 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.

Problem

Control Flow Guard (CFG/CFI) protects the code flow integrity by ensuring that indirect calls are made only to vetted functions. This mitigation protects dynamically resolved function targets by instrumenting the code responsible for transferring execution control. Higher-level programming languages implement structured exception handling by managing their own code flow execution paths. As such, they are subject to code flow hijacking during runtime. Language-specific exception handling mitigation enforces execution integrity by instrumenting calls to manage execution context switching. Any deviation from the known and trusted code flow paths will cause the application to terminate. This makes malicious code less likely to execute.

Prevalence in PyPI community

36 packages

found in

Top 100

164 packages

found in

Top 1k

932 packages

found in

Top 10k

17.86k packages

in community

Next steps

It's highly recommended to enable this option for all software components used at security boundaries, or those that process user controlled inputs.

To enable this mitigation, 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.