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warningRisk: Hardening
Scanned: 7 days ago

adbc-driver-postgresql

Artifact:
latest
Top 10k
A libpq-based ADBC driver for working with PostgreSQL.
License: Permissive (Apache-2.0)
Published: about 1 month ago




SAFE Assessment

Compliance

Licenses
No license compliance issues
Secrets
1 web service credentials found

Security

Vulnerabilities
No known vulnerabilities detected
Hardening
3 misconfigured toolchains detected

Threats

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

Popularity

5.29M
Total Downloads
Contributors
Declared Dependencies
21
Dependents

Top issues

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 string manipulation functions. They enforce static memory access checks, and allow only the use of range-verified string parsing 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
33 packages
found in
Top 1k
174 packages
found in
Top 10k
3639 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

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

6 packages
found in
Top 100
47 packages
found in
Top 1k
246 packages
found in
Top 10k
6306 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

2 packages
found in
Top 100
39 packages
found in
Top 1k
189 packages
found in
Top 10k
4600 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

Various network communication protocols allow including plaintext authentication credentials. Information such as user names and passwords could be passed through a non-encrypted channel, and therefore intercepted by malicious actors. Credentials are considered secrets, and should be kept encrypted until they are used. This policy control matches the following URI pattern protocol://username:password@domain within any software package component.

Prevalence in PyPI community

21 packages
found in
Top 100
85 packages
found in
Top 1k
369 packages
found in
Top 10k
6869 packages
in community

Next steps

Review the reported matches. If the warning refers to a placeholder credential value, it can be safely ignored.

Problem

Uniform Resource Locators (URLs) are structured addresses that point to locations and assets on the internet. URLs allow software developers to build complex applications that exchange data with servers that can be hosted in multiple geographical regions. URLs can commonly be found embedded in documentation, configuration files, source code and compiled binaries. URL paths provide additional information to a web service when making a request. They are an optional, but an important part of the URL, as they may define specific content or actions based on the data being passed. Some parameters they pass might be considered sensitive information. Since path components are not encrypted this might cause sensitive information to leak. This issue is raised for URL paths than might contain information that attackers can easily intercept. Examples of sensitive information fields include passwords and other similar parameters.

Prevalence in PyPI community

12 packages
found in
Top 100
59 packages
found in
Top 1k
404 packages
found in
Top 10k
8958 packages
in community

Next steps

Investigate reported detections.
If the software should not include these network references, 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 removing all references to flagged network locations.

Top behaviors

Prevalence in PyPI community

Behavior uncommon for this community (Uncommon)
0 packages
found in
Top 100
13 packages
found in
Top 1k
82 packages
found in
Top 10k
1822 packages
in community

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 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)
2 packages
found in
Top 100
12 packages
found in
Top 1k
86 packages
found in
Top 10k
1748 packages
in community

Prevalence in PyPI community

Behavior often found in this community (Common)
6 packages
found in
Top 100
29 packages
found in
Top 1k
202 packages
found in
Top 10k
4366 packages
in community

Top vulnerabilities

No vulnerabilities found.