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failIncident: Removal
Scanned: 8 days ago

fintech

Artifact:
The Python FinTech package (SEPA, EBICS & more)
License: unknown
Published: about 1 year ago



SAFE Assessment

Compliance

Licenses
No license compliance issues
Secrets
No sensitive information found

Security

Vulnerabilities
1 high severity vulnerabilities
Hardening
1 baseline mitigations missing

Threats

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

INCIDENTS FOR THIS VERSION:

removal
Reported By: Community

Popularity

3.38M
Total Downloads
Contributor
Declared Dependencies
0
Dependents

Top issues

Problem

Data Execution Prevention (DEP/NX) is a vulnerability mitigation option that prevents data from being interpreted as code anywhere within the application. This mitigation protects the application stack, heap and other memory data ranges. Executable files that fail to implement this mitigation expose the user to increased risks of malicious code injection.

Prevalence in PyPI community

20 packages
found in
Top 100
88 packages
found in
Top 1k
357 packages
found in
Top 10k
5500 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 linker documentation.
In Microsoft VisualStudio, you can enable DEP mitigation by setting the linker option /NXCOMPAT to ON.

Problem

Sensitive executable memory regions should be kept as read-only to protect the integrity of trusted execution code flow paths. Imported function addresses are pointers to the symbols that implement the application-required functionality. If those pointers are changed by malicious code, execution paths can be redirected to unintended locations. Most modern programming language toolchains protect those memory regions appropriately. These issues are commonly reported for outdated linkers and non-compliant executable packing solutions.

Prevalence in PyPI community

14 packages
found in
Top 100
22 packages
found in
Top 1k
138 packages
found in
Top 10k
3863 packages
in community

Next steps

Review the programming language linker options, and consider a build toolchain update.

Problem

Sensitive executable memory regions should be kept as read-only to protect the integrity of trusted execution code flow paths. Thread local storage (TLS) callbacks are pointers to code initialization and resource release functions. If those pointers are changed by malicious code, execution paths can be redirected to unintended locations. Most modern programming language toolchains protect those memory regions appropriately. These issues are commonly reported for outdated linkers and non-compliant executable packing solutions.

Prevalence in PyPI community

6 packages
found in
Top 100
13 packages
found in
Top 1k
103 packages
found in
Top 10k
3072 packages
in community

Next steps

Review the programming language linker options, and consider a build toolchain update.

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

Buffer overrun protection on Linux is achieved in two ways. The most common solution is to use the stack canary (also called cookie). The stack canary is a special value written onto the stack that allows the operating system to detect and terminate the program if a stack overrun occurs. In most cases, compilers will apply the stack canary conservatively in order to avoid a negative performance impact. Therefore, stack canaries are often used together with another stack overrun mitigation - fortified functions. Fortified functions are usually wrappers around standard glibc functions (such as memcpy) which perform boundary checks either at compile time or run time to determine if a memory violation has occurred. The compiler needs additional context to generate such calls (for example, array size that needs to be known at compile time). Because of this, the compiler will virtually never substitute all viable functions with their fortified counterparts in complex programs. However, when combined with the stack canary, fortified functions provide a good measure of buffer overrun protection.

Prevalence in PyPI community

13 packages
found in
Top 100
74 packages
found in
Top 1k
456 packages
found in
Top 10k
7612 packages
in community

Next steps

Presence of unfortified string functions may indicate use of unsafe programming practices, and you should avoid it if possible.
In GCC, enable fortified functions with -fstack-protector and -D_FORTIFY_SOURCE=2 flag, while using at least -O1 optimization level.

Top behaviors

Prevalence in PyPI community

Behavior often found in this community (Common)
8 packages
found in
Top 100
51 packages
found in
Top 1k
324 packages
found in
Top 10k
12778 packages
in community

Prevalence in PyPI community

Behavior often found in this community (Common)
10 packages
found in
Top 100
50 packages
found in
Top 1k
265 packages
found in
Top 10k
5875 packages
in community

Prevalence in PyPI community

Behavior often found in this community (Common)
40 packages
found in
Top 100
253 packages
found in
Top 1k
1433 packages
found in
Top 10k
53416 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

Prevalence in PyPI community

Behavior often found in this community (Common)
34 packages
found in
Top 100
145 packages
found in
Top 1k
550 packages
found in
Top 10k
10949 packages
in community

Top vulnerabilities

Vulnerability Exploitation Lifecycle
(1 Active Vulnerabilities)
1 (1 Fixable)
CVE-2024-39689h
None
None
None
Exploits Unknown
Exploits Exist
Exploited by Malware
Patching Mandated