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failRisk: Secrets
Scanned: 9 days ago

@aws-cdk/asset-awscli-v1

A library that contains the AWS CLI for use in Lambda Layers
License: Permissive (Apache-2.0)
Published: 7 months ago




SAFE Assessment

Compliance

Licenses
No license compliance issues
Secrets
1 web service credentials found

Security

Vulnerabilities
2 medium severity vulnerabilities
Hardening
1 execution hijacking concerns

Threats

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

Popularity

202.8M
Recorded Downloads Since 2021
Contributors
Declared Dependencies
4
Dependents

Top issues

Problem

Software as a Service (SaaS) platforms expose programmable interfaces to their authenticated users. These web services enable action automation and secure exchange of information. To authenticate, web service users provide a unique account identifier and a secret that confirms their access rights. Account access credentials are considered secrets. They should never be included in a software release package, even if they are obfuscated by encryption on the client-side.

Prevalence in npm community

0 packages
found in
Top 100
0 packages
found in
Top 1k
16 packages
found in
Top 10k
2473 packages
in community

Next steps

You should securely store web service access credentials, and fully automate their management and periodic rotation.
If credentials were published unintentionally and the software has been made public, you should revoke exposed credentials and file a security incident.
Examples of service credentials that may have been detected include AWS, Square, Zoho, Duo, PayPal and others.

Problem

Applications communicate with web services by exchanging HTTP requests. During software development, externally hosted services are used by developers to debug software quality issues relating to exchanging HTTP requests. Attackers commonly abuse tools designed for HTTP request inspection to monitor network traffic and extract sensitive information from the HTTP traffic. While the presence of domains related to HTTP inspection does not imply malicious intent, all of their uses in a software package should be documented and approved. Attackers might have purposely injected security testing tools in the software package to monitor the network traffic of the infected computer system. It is also possible that the software package has mistakenly included a part of its testing infrastructure during packaging.

Prevalence in npm community

0 packages
found in
Top 100
6 packages
found in
Top 1k
64 packages
found in
Top 10k
16488 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.

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 npm community

0 packages
found in
Top 100
1 packages
found in
Top 1k
84 packages
found in
Top 10k
11078 packages
in community

Next steps

Presence of unfortified memory 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.

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 medium severity.

Prevalence in npm community

21 packages
found in
Top 100
132 packages
found in
Top 1k
2542 packages
found in
Top 10k
965123 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

Software components contain executable code that performs actions implemented during its development. These actions are called behaviors. In the analysis report, behaviors are presented as human-readable descriptions that best match the underlying code intent. While most behaviors are benign, some are commonly abused by malicious software with the intent to cause harm. When a software package shares behavior traits with malicious software, it may become flagged by security solutions. Any detection from security solutions can cause friction for the end-users during software deployment. While the behavior is likely intended by the developer, there is a small chance this detection is true positive, and an early indication of a software supply chain attack.

Prevalence in npm community

0 packages
found in
Top 100
0 packages
found in
Top 1k
1 packages
found in
Top 10k
1375 packages
in community

Next steps

Investigate reported detections.
If the software intent does not relate to the reported behavior, 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 rewriting the flagged code without using the marked behaviors.

Top behaviors

Prevalence in npm community

Behavior uncommon for this community (Uncommon)
0 packages
found in
Top 100
0 packages
found in
Top 1k
9 packages
found in
Top 10k
1239 packages
in community

Prevalence in npm community

Behavior uncommon for this community (Uncommon)
0 packages
found in
Top 100
0 packages
found in
Top 1k
11 packages
found in
Top 10k
1332 packages
in community

Prevalence in npm community

Behavior uncommon for this community (Uncommon)
0 packages
found in
Top 100
0 packages
found in
Top 1k
9 packages
found in
Top 10k
1340 packages
in community

Prevalence in npm community

Behavior uncommon for this community (Uncommon)
0 packages
found in
Top 100
0 packages
found in
Top 1k
2 packages
found in
Top 10k
175 packages
in community

Prevalence in npm community

Behavior often found in this community (Common)
6 packages
found in
Top 100
12 packages
found in
Top 1k
318 packages
found in
Top 10k
56078 packages
in community

Top vulnerabilities

Vulnerability Exploitation Lifecycle
(3 Active Vulnerabilities)
1 (1 Fixable)
CVE-2025-50182m
1 (1 Fixable)
CVE-2025-50181m
None
None
Exploits Unknown
Exploits Exist
Exploited by Malware
Patching Mandated

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