Common Weakness Enumeration
CWE-95
AllowedImproper Neutralization of Directives in Dynamically Evaluated Code ('Eval Injection')
Abstraction: Variant · Status: Incomplete
The product receives input from an upstream component, but it does not neutralize or incorrectly neutralizes code syntax before using the input in a dynamic evaluation call (e.g. "eval").
323 vulnerabilities reference this CWE, most recent first.
CVE-2026-78136 (GCVE-0-2026-78136)
Vulnerability from cvelistv5 – Published: 2026-08-23 00:48 – Updated: 2026-08-24 13:01
VLAI
EPSS
VEX
Summary
chirpmyradio CHIRP before 39178db allows eval injection via crafted CSV data. This occurs in _clean_tmode in drivers/kenwood_itm.py.
Severity
7.8 (High)
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-08-24 12:37 UTC
CWE
- CWE-95 - Improper Neutralization of Directives in Dynamically Evaluated Code ('Eval Injection')
Assigner
References
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| chirpmyradio | CHIRP |
Affected:
0 , < 39178dbfc4fece083ab9ed20286d6ae3a91a718e
(git)
|
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CVE-2026-77810 (GCVE-0-2026-77810)
Vulnerability from cvelistv5 – Published: 2026-08-21 19:34 – Updated: 2026-08-27 16:46
VLAI
EPSS
VEX
Title
Code Injection via Gremlin Query Passthrough in Amazon Athena Neptune Connector
Summary
In the Neptune connector, a user with access to Neptune through Athena Federated Query could gain access to properties in the Lambda supplying the compute for the connector. To remediate this issue, users should upgrade to aws-athena-query-federation v2026.30.1 or later.
Severity
9.9 (Critical)
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-08-27 16:08 UTC
CWE
- CWE-95 - Improper neutralization of directives in dynamically evaluated code ('eval injection')
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://github.com/awslabs/aws-athena-query-feder… | patch |
| https://aws.amazon.com/security/security-bulletin… | vendor-advisory |
| https://github.com/awslabs/aws-athena-query-feder… | third-party-advisory |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| AWS | Athena Federated Query Neptune Connector |
Affected:
2024.15.1 , ≤ 2026.28.1
(custom)
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CVE-2026-76833 (GCVE-0-2026-76833)
Vulnerability from cvelistv5 – Published: 2026-08-20 13:33 – Updated: 2026-08-20 14:29
VLAI
EPSS
VEX
Title
@cgauge/yaml npm Package Arbitrary Code Execution via eval() YAML Tag
Summary
@cgauge/yaml npm package contains an arbitrary code execution vulnerability that allows attackers to execute arbitrary JavaScript by embedding a custom !js YAML tag whose construct callback unconditionally calls eval() on attacker-supplied string values during document parsing. Any application parsing untrusted YAML input with this library exposes full Node.js runtime authority, including environment variable access, filesystem read/write, network access, and subprocess execution, with no safe-mode alternative or opt-out mechanism available.
Severity
SSVC
Exploitation: poc
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-08-20 14:28 UTC
CWE
- CWE-95 - Improper Neutralization of Directives in Dynamically Evaluated Code ('Eval Injection')
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://github.com/cgauge/packages | product |
| https://gist.github.com/arjunjaincs/35da3a80b4b16… | technical-description |
| https://www.vulncheck.com/advisories/cgauge-yaml-… | third-party-advisory |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| cgauge | @cgauge/yaml |
Affected:
0 , ≤ 0.27.0
(custom)
|
Date Public
2026-08-19 00:00
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CVE-2026-75062 (GCVE-0-2026-75062)
Vulnerability from cvelistv5 – Published: 2026-08-26 14:50 – Updated: 2026-08-27 16:55
VLAI
EPSS
VEX
Title
Eval Injection in google/langfun via default lf.query protocol
Summary
Improper Neutralization of Directives in Dynamically Evaluated Code ('Eval Injection') in the default lf.query Python protocol in Google langfun versions prior to 0.1.2 allows remote unauthenticated attackers to execute arbitrary Python code in the context of the host application via crafted prompt inputs that cause the model to generate executable Python expressions evaluated without a sandbox.
Severity
SSVC
Exploitation: poc
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-08-26 15:37 UTC
CWE
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://github.com/google/langfun | product |
| https://github.com/google/langfun/issues/725 | issue-tracking |
Impacted products
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CVE-2026-74899 (GCVE-0-2026-74899)
Vulnerability from cvelistv5 – Published: 2026-08-17 11:04 – Updated: 2026-08-18 14:40
VLAI
EPSS
VEX
Title
openssl_encrypt before 1.4.0 Sandbox Escape via Type Hierarchy
Summary
openssl_encrypt versions before 1.4.0 contain a sandbox escape vulnerability in IsolatedPluginExecutor that exposes Python type objects in restricted exec() builtins. Attackers can traverse the Python class hierarchy via __class__.__mro__.__subclasses__() to access system functions and execute arbitrary OS commands.
Severity
9.8 (Critical)
SSVC
Exploitation: poc
Automatable: yes
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-08-18 14:40 UTC
CWE
- CWE-95 - Improper Neutralization of Directives in Dynamically Evaluated Code ('Eval Injection')
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://github.com/jahlives/openssl_encrypt/secur… | vendor-advisory |
| https://www.vulncheck.com/advisories/openssl-encr… | third-party-advisory |
| https://github.com/siyuan-note/siyuan/security/ad… | exploit |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| jahlives | openssl_encrypt |
Affected:
0 , < 1.4.0
(semver)
Unaffected: 1.4.0 (semver) |
Date Public
2026-02-10 00:00
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CVE-2026-74234 (GCVE-0-2026-74234)
Vulnerability from cvelistv5 – Published: 2026-08-17 19:38 – Updated: 2026-08-26 13:12
VLAI
EPSS
VEX
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CVE-2026-73602 (GCVE-0-2026-73602)
Vulnerability from cvelistv5 – Published: 2026-08-13 11:28 – Updated: 2026-08-13 12:46
VLAI
EPSS
VEX
Title
Flowise before 3.1.3 Sandbox Escape to RCE
Summary
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Severity
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-08-13 12:46 UTC
CWE
- CWE-95 - Improper Neutralization of Directives in Dynamically Evaluated Code ('Eval Injection')
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://github.com/FlowiseAI/Flowise/security/adv… | vendor-advisory |
| https://github.com/FlowiseAI/Flowise/commit/4211b… | patch |
| https://www.vulncheck.com/advisories/flowise-befo… | third-party-advisory |
Impacted products
Date Public
2026-07-29 00:00
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CVE-2026-73601 (GCVE-0-2026-73601)
Vulnerability from cvelistv5 – Published: 2026-08-13 11:28 – Updated: 2026-08-14 20:18
VLAI
EPSS
VEX
Title
Flowise before 3.1.3 Remote Code Execution via Custom MCP
Summary
Flowise versions before 3.1.3 contain a remote code execution vulnerability in the Custom MCP node when CUSTOM_MCP_PROTOCOL is set to stdio, allowing authenticated users to execute arbitrary commands by manipulating environment variables and command arguments. Attackers can abuse PYTHONWARNINGS and BROWSER environment variables with python3, or leverage the root working directory with node to bypass validation and execute system commands.
Severity
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-08-14 18:59 UTC
CWE
- CWE-95 - Improper Neutralization of Directives in Dynamically Evaluated Code ('Eval Injection')
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://github.com/FlowiseAI/Flowise/security/adv… | vendor-advisory |
| https://www.vulncheck.com/advisories/flowise-befo… | third-party-advisory |
Impacted products
Date Public
2026-07-29 00:00
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CVE-2026-73248 (GCVE-0-2026-73248)
Vulnerability from cvelistv5 – Published: 2026-08-11 21:56 – Updated: 2026-08-12 13:52
VLAI
EPSS
VEX
Title
calibre: Bypass of Python template restrictions via nested `template()` leading to RCE
Summary
calibre is an e-book manager. Prior to 9.12.0, calibre processes attacker-controlled composite_template metadata from a malicious EPUB, OPF, PDF, or similar file through program: and a nested template() call whose formatter does not inherit allow_python_templates=False, allowing a nested python: template to reach compile_python_template and execute arbitrary Python code when the file is opened or imported. This issue is fixed in version 9.12.0.
Severity
SSVC
Exploitation: poc
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-08-12 12:41 UTC
CWE
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://github.com/kovidgoyal/calibre/security/ad… | x_refsource_CONFIRM |
| https://github.com/kovidgoyal/calibre/commit/dac9… | x_refsource_MISC |
| https://github.com/kovidgoyal/calibre/releases/ta… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| kovidgoyal | calibre |
Affected:
< 9.12.0
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CVE-2026-73231 (GCVE-0-2026-73231)
Vulnerability from cvelistv5 – Published: 2026-08-11 19:28 – Updated: 2026-08-13 14:41
VLAI
EPSS
VEX
Title
Faker: helpers.fake exploitable into arbritary code execution
Summary
Faker generates massive amounts of fake data in the browser and Node.js. Prior to 10.5.0, the faker.helpers.fake method in src/modules/helpers/eval.ts allows attacker-controlled fake templates to access the Function constructor through fakeEval.resolveProperty when a function returns another function, enabling arbitrary JavaScript code execution. This issue is fixed in version 10.5.0.
Severity
7.8 (High)
SSVC
Exploitation: poc
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-08-13 14:41 UTC
CWE
- CWE-95 - Improper Neutralization of Directives in Dynamically Evaluated Code ('Eval Injection')
Assigner
References
4 references
| URL | Tags |
|---|---|
| https://github.com/faker-js/faker/security/adviso… | x_refsource_CONFIRM |
| https://github.com/faker-js/faker/pull/3852 | x_refsource_MISC |
| https://github.com/faker-js/faker/commit/54586208… | x_refsource_MISC |
| https://github.com/faker-js/faker/releases/tag/v10.5.0 | x_refsource_MISC |
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"cna": {
"affected": [
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"product": "faker",
"vendor": "faker-js",
"versions": [
{
"status": "affected",
"version": "\u003c 10.5.0"
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}
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"scope": "UNCHANGED",
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"version": "3.1"
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"description": "CWE-95: Improper Neutralization of Directives in Dynamically Evaluated Code (\u0027Eval Injection\u0027)",
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"name": "https://github.com/faker-js/faker/security/advisories/GHSA-qxc2-j82w-r537",
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"name": "https://github.com/faker-js/faker/pull/3852",
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{
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"url": "https://github.com/faker-js/faker/commit/54586208f904012f57c50b46cc1ad32bcbe4bfb7"
},
{
"name": "https://github.com/faker-js/faker/releases/tag/v10.5.0",
"tags": [
"x_refsource_MISC"
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"url": "https://github.com/faker-js/faker/releases/tag/v10.5.0"
}
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"discovery": "UNKNOWN"
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Mitigation
Architecture and Design
Implementation
Strategy: Refactoring
If possible, refactor your code so that it does not need to use eval() at all.
Mitigation MIT-5
Implementation
Strategy: Input Validation
- Assume all input is malicious. Use an "accept known good" input validation strategy, i.e., use a list of acceptable inputs that strictly conform to specifications. Reject any input that does not strictly conform to specifications, or transform it into something that does.
- When performing input validation, consider all potentially relevant properties, including length, type of input, the full range of acceptable values, missing or extra inputs, syntax, consistency across related fields, and conformance to business rules. As an example of business rule logic, "boat" may be syntactically valid because it only contains alphanumeric characters, but it is not valid if the input is only expected to contain colors such as "red" or "blue."
- Do not rely exclusively on looking for malicious or malformed inputs. This is likely to miss at least one undesirable input, especially if the code's environment changes. This can give attackers enough room to bypass the intended validation. However, denylists can be useful for detecting potential attacks or determining which inputs are so malformed that they should be rejected outright.
Mitigation
Implementation
- Inputs should be decoded and canonicalized to the application's current internal representation before being validated (CWE-180, CWE-181). Make sure that your application does not inadvertently decode the same input twice (CWE-174). Such errors could be used to bypass allowlist schemes by introducing dangerous inputs after they have been checked. Use libraries such as the OWASP ESAPI Canonicalization control.
- Consider performing repeated canonicalization until your input does not change any more. This will avoid double-decoding and similar scenarios, but it might inadvertently modify inputs that are allowed to contain properly-encoded dangerous content.
Mitigation
Implementation
For Python programs, it is frequently encouraged to use the ast.literal_eval() function instead of eval, since it is intentionally designed to avoid executing code. However, an adversary could still cause excessive memory or stack consumption via deeply nested structures [REF-1372], so the python documentation discourages use of ast.literal_eval() on untrusted data [REF-1373].
CAPEC-35: Leverage Executable Code in Non-Executable Files
An attack of this type exploits a system's trust in configuration and resource files. When the executable loads the resource (such as an image file or configuration file) the attacker has modified the file to either execute malicious code directly or manipulate the target process (e.g. application server) to execute based on the malicious configuration parameters. Since systems are increasingly interrelated mashing up resources from local and remote sources the possibility of this attack occurring is high.