Common Weakness Enumeration
CWE-94
Allowed-with-ReviewImproper Control of Generation of Code ('Code Injection')
Abstraction: Base · Status: Draft
The product constructs all or part of a code segment using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the syntax or behavior of the intended code segment.
8285 vulnerabilities reference this CWE, most recent first.
CVE-2026-44513 (GCVE-0-2026-44513)
Vulnerability from cvelistv5 – Published: 2026-05-14 16:26 – Updated: 2026-07-15 00:53
VLAI
EPSS
VEX
Title
Diffusers: `trust_remote_code` bypass via `custom_pipeline` and local custom components
Summary
Diffusers is the a library for pretrained diffusion models. Prior to 0.38.0, a trust_remote_code bypass in DiffusionPipeline.from_pretrained allows arbitrary remote code execution despite the user passing trust_remote_code=False (or omitting it, which is the default). The vulnerability has three variants, all sharing the same root cause — the trust_remote_code gate was implemented inside DiffusionPipeline.download() rather than at the actual dynamic-module load site, so any code path that bypassed or short-circuited download() also bypassed the security check. DiffusionPipeline.from_pretrained('repoA', custom_pipeline='attacker/repoB', trust_remote_code=False) — the gate evaluated against repoA's file list rather than repoB's, so repoB's pipeline.py was loaded and executed. DiffusionPipeline.from_pretrained('/local/snapshot', custom_pipeline='attacker/repoB', trust_remote_code=False) — the local-path branch never invoked download(), so the gate was never reached and remote code from repoB executed. DiffusionPipeline.from_pretrained('/local/snapshot', trust_remote_code=False) where the snapshot contains custom component files (e.g. unet/my_unet_model.py) referenced from model_index.json — same root cause; the local path skipped download() and custom component code executed. This vulnerability is fixed in 0.38.0.
Severity
8.8 (High)
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator (v2.0.3)
CWE
Assigner
References
4 references
| URL | Tags |
|---|---|
| https://github.com/huggingface/diffusers/security… | x_refsource_CONFIRM |
| https://access.redhat.com/security/cve/CVE-2026-44513 | vdb-entryx_refsource_REDHAT |
| https://bugzilla.redhat.com/show_bug.cgi?id=2477507 | issue-trackingx_refsource_REDHAT |
| https://security.access.redhat.com/data/csaf/v2/v… | x_sadp-csaf-vex |
Impacted products
4 products
| Vendor | Product | Version | |
|---|---|---|---|
| huggingface | diffusers |
Affected:
< 0.38.0
|
|
| Red Hat | Red Hat AI Inference Server |
cpe:/a:redhat:ai_inference_server:3 |
|
| Red Hat | Red Hat Enterprise Linux AI (RHEL AI) 3 |
cpe:/a:redhat:enterprise_linux_ai:3 |
|
| Red Hat | Red Hat OpenShift AI (RHOAI) |
cpe:/a:redhat:openshift_ai |
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CVE-2026-44495 (GCVE-0-2026-44495)
Vulnerability from cvelistv5 – Published: 2026-06-11 15:33 – Updated: 2026-07-16 12:04
VLAI
EPSS
VEX
Title
Axios: Credential Theft and Response Hijacking via Prototype Pollution Gadget in Config Merge
Summary
Axios is a promise based HTTP client for the browser and Node.js. From 0.19.0 to before 0.31.1 and 1.15.2, Axios contains prototype-pollution gadgets in request config processing. If another vulnerability in the same JavaScript process has already polluted Object.prototype.transformResponse, affected Axios versions may treat that inherited value as request configuration or as an option validator. Axios does not itself create the prototype pollution. Exploitability requires a separate prototype-pollution vulnerability or equivalent attacker control over Object.prototype before Axios creates a request. This vulnerability is fixed in 0.31.1 and 1.15.2.
Severity
SSVC
Exploitation: poc
Automatable: no
Technical Impact: total
CISA Coordinator (v2.0.3)
CWE
Assigner
References
32 references
Impacted products
61 products
| Vendor | Product | Version | |
|---|---|---|---|
| axios | axios |
Affected:
>= 1.0.0, < 1.15.2
Affected: >= 0.19.0, < 0.31.1 |
|
| Red Hat | Red Hat Ansible Automation Platform 2.6 for RHEL 9 |
Unaffected:
0:2.6.10-1.el9ap , < *
(rpm)
cpe:/a:redhat:ansible_automation_platform:2.6::el9 |
|
| Red Hat | multicluster engine for Kubernetes 2.6 |
Unaffected:
1783351002 , < *
(rpm)
cpe:/a:redhat:multicluster_engine:2.6::el9 |
|
| Red Hat | multicluster engine for Kubernetes 2.8 |
Unaffected:
1782157085 , < *
(rpm)
cpe:/a:redhat:multicluster_engine:2.8::el9 |
|
| Red Hat | multicluster engine for Kubernetes 2.9 |
Unaffected:
1783348181 , < *
(rpm)
cpe:/a:redhat:multicluster_engine:2.9::el9 |
|
| Red Hat | Red Hat Advanced Cluster Management for Kubernetes 2.11 |
Unaffected:
1783350952 , < *
(rpm)
cpe:/a:redhat:acm:2.11::el9 |
|
| Red Hat | Red Hat Advanced Cluster Management for Kubernetes 2.13 |
Unaffected:
1782157514 , < *
(rpm)
cpe:/a:redhat:acm:2.13::el9 |
|
| Red Hat | Red Hat Advanced Cluster Management for Kubernetes 2.14 |
Unaffected:
1783451729 , < *
(rpm)
cpe:/a:redhat:acm:2.14::el9 |
|
| Red Hat | Red Hat Advanced Cluster Security for Kubernetes 4.10 |
Unaffected:
1779293013 , < *
(rpm)
cpe:/a:redhat:advanced_cluster_security:4.10::el8 |
|
| Red Hat | Red Hat Advanced Cluster Security for Kubernetes 4.9 |
Unaffected:
1779371594 , < *
(rpm)
cpe:/a:redhat:advanced_cluster_security:4.9::el8 |
|
| Red Hat | Red Hat Ansible Automation Platform 2.6 |
Unaffected:
1782761510 , < *
(rpm)
cpe:/a:redhat:ansible_automation_platform:2.6::el9 |
|
| Red Hat | Red Hat Container Native Virtualization 4.13 |
Unaffected:
1782426816 , < *
(rpm)
cpe:/a:redhat:container_native_virtualization:4.13::el9 |
|
| Red Hat | Red Hat Container Native Virtualization 4.14 |
Unaffected:
1781807944 , < *
(rpm)
cpe:/a:redhat:container_native_virtualization:4.14::el9 |
|
| Red Hat | Red Hat Developer Hub 1.10 |
Unaffected:
1783448184 , < *
(rpm)
cpe:/a:redhat:rhdh:1.10::el9 |
|
| Red Hat | Red Hat Developer Hub 1.9 |
Unaffected:
1781187342 , < *
(rpm)
Unaffected: 1782761244 , < * (rpm) cpe:/a:redhat:rhdh:1.9::el9 |
|
| Red Hat | Red Hat Discovery 2 |
Unaffected:
1782166952 , < *
(rpm)
cpe:/a:redhat:discovery:2::el9 |
|
| Red Hat | Red Hat OpenShift Container Platform 4.14 |
Unaffected:
1782911957 , < *
(rpm)
cpe:/a:redhat:openshift:4.14::el9 |
|
| Red Hat | Red Hat OpenShift Container Platform 4.15 |
Unaffected:
1782127091 , < *
(rpm)
cpe:/a:redhat:openshift:4.15::el9 |
|
| Red Hat | Red Hat OpenShift Container Platform 4.16 |
Unaffected:
1782244020 , < *
(rpm)
cpe:/a:redhat:openshift:4.16::el9 |
|
| Red Hat | Red Hat OpenShift Container Platform 4.20 |
Unaffected:
1781695012 , < *
(rpm)
cpe:/a:redhat:openshift:4.20::el9 |
|
| Red Hat | Red Hat OpenShift Container Platform 4.21 |
Unaffected:
1781731914 , < *
(rpm)
cpe:/a:redhat:openshift:4.21::el9 |
|
| Red Hat | Red Hat OpenShift Dev Spaces 3.29 |
Unaffected:
1782498792 , < *
(rpm)
cpe:/a:redhat:openshift_devspaces:3.29::el9 |
|
| Red Hat | Red Hat OpenShift Service Mesh 2.6 |
Unaffected:
1781937133 , < *
(rpm)
cpe:/a:redhat:service_mesh:2.6::el8 |
|
| Red Hat | Red Hat OpenShift Service Mesh 2.6 |
Unaffected:
1782287580 , < *
(rpm)
cpe:/a:redhat:service_mesh:2.6::el8 |
|
| Red Hat | Red Hat OpenShift Service Mesh 3 |
Unaffected:
1782201894 , < *
(rpm)
cpe:/a:redhat:service_mesh:3.0::el9 |
|
| Red Hat | Red Hat OpenShift Service Mesh 3 |
Unaffected:
1782201833 , < *
(rpm)
cpe:/a:redhat:service_mesh:3.0::el9 |
|
| Red Hat | Red Hat OpenShift Service Mesh 3.1 |
Unaffected:
1782201696 , < *
(rpm)
cpe:/a:redhat:service_mesh:3.1::el9 |
|
| Red Hat | Red Hat OpenShift Service Mesh 3.1 |
Unaffected:
1782201537 , < *
(rpm)
cpe:/a:redhat:service_mesh:3.1::el9 |
|
| Red Hat | Red Hat OpenShift Service Mesh 3.2 |
Unaffected:
1782201851 , < *
(rpm)
cpe:/a:redhat:service_mesh:3.2::el9 |
|
| Red Hat | Red Hat OpenShift Service Mesh 3.2 |
Unaffected:
1782201812 , < *
(rpm)
cpe:/a:redhat:service_mesh:3.2::el9 |
|
| Red Hat | Red Hat OpenShift Service Mesh 3.3 |
Unaffected:
1782231869 , < *
(rpm)
cpe:/a:redhat:service_mesh:3.3::el9 |
|
| Red Hat | Red Hat OpenShift Service Mesh 3.3 |
Unaffected:
1782201466 , < *
(rpm)
cpe:/a:redhat:service_mesh:3.3::el9 |
|
| Red Hat | Red Hat Quay 3.9 |
Unaffected:
1784125838 , < *
(rpm)
cpe:/a:redhat:quay:3.9::el8 |
|
| Red Hat | Cryostat 4 |
cpe:/a:redhat:cryostat:4 |
|
| Red Hat | Gatekeeper 3 |
cpe:/a:redhat:gatekeeper:3 |
|
| Red Hat | Migration Toolkit for Applications 8 |
cpe:/a:redhat:migration_toolkit_applications:8 |
|
| Red Hat | Migration Toolkit for Containers |
cpe:/a:redhat:rhmt:1 |
|
| Red Hat | Network Observability Operator |
cpe:/a:redhat:network_observ_optr:1 |
|
| Red Hat | OpenShift Pipelines |
cpe:/a:redhat:openshift_pipelines:1 |
|
| Red Hat | OpenShift Service Mesh 3 |
cpe:/a:redhat:service_mesh:3 |
|
| Red Hat | Red Hat 3scale API Management Platform 2 |
cpe:/a:redhat:red_hat_3scale_amp:2 |
|
| Red Hat | Red Hat AMQ Broker 7 |
cpe:/a:redhat:amq_broker:7 |
|
| Red Hat | Red Hat Ansible Automation Platform 2 |
cpe:/a:redhat:ansible_automation_platform:2 |
|
| Red Hat | Red Hat build of Apache Camel for Spring Boot 4 |
cpe:/a:redhat:camel_spring_boot:4 |
|
| Red Hat | Red Hat build of Apache Camel - HawtIO 4 |
cpe:/a:redhat:apache_camel_hawtio:4 |
|
| Red Hat | Red Hat build of Apicurio Registry 3 |
cpe:/a:redhat:apicurio_registry:3 |
|
| Red Hat | Red Hat Build of Podman Desktop - Tech Preview |
cpe:/a:redhat:podman_desktop:0 |
|
| Red Hat | Red Hat Data Grid 8 |
cpe:/a:redhat:jboss_data_grid:8 |
|
| Red Hat | Red Hat Enterprise Linux 8 |
cpe:/o:redhat:enterprise_linux:8 |
|
| Red Hat | Red Hat Enterprise Linux 9 |
cpe:/o:redhat:enterprise_linux:9 |
|
| Red Hat | Red Hat Enterprise Linux AI (RHEL AI) 3 |
cpe:/a:redhat:enterprise_linux_ai:3 |
|
| Red Hat | Red Hat Fuse 7 |
cpe:/a:redhat:jboss_fuse:7 |
|
| Red Hat | Red Hat OpenShift AI (RHOAI) |
cpe:/a:redhat:openshift_ai |
|
| Red Hat | Red Hat OpenShift Container Platform 4 |
cpe:/a:redhat:openshift:4 |
|
| Red Hat | Red Hat OpenShift Dev Spaces |
cpe:/a:redhat:openshift_devspaces:3 |
|
| Red Hat | Red Hat OpenShift Virtualization 4 |
cpe:/a:redhat:container_native_virtualization:4 |
|
| Red Hat | Red Hat Quay 3 |
cpe:/a:redhat:quay:3 |
|
| Red Hat | Red Hat Satellite 6 |
cpe:/a:redhat:satellite:6 |
|
| Red Hat | Red Hat Trusted Artifact Signer |
cpe:/a:redhat:trusted_artifact_signer:1 |
|
| Red Hat | Red Hat Trusted Profile Analyzer |
cpe:/a:redhat:trusted_profile_analyzer:2 |
|
| Red Hat | Self-service automation portal 2 |
cpe:/a:redhat:ansible_portal:2 |
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CVE-2026-44482 (GCVE-0-2026-44482)
Vulnerability from cvelistv5 – Published: 2026-05-14 14:51 – Updated: 2026-05-14 17:58
VLAI
EPSS
VEX
Title
soundcloud-rpc: Remote Code Execution via XSS in Track Title
Summary
soundcloud-rpc is a SoundCloud Client with Discord Rich Presence, Dark Mode, Last.fm and AdBlock support. Prior to 0.1.8, a track title containing an HTML payload executed locally in the Electron app. This means attacker-controlled SoundCloud track metadata can lead to local command execution on the user's machine. The application exposes a preload API (window.soundcloudAPI.sendTrackUpdate) to the remote SoundCloud page. Track metadata from SoundCloud is trusted and forwarded through IPC into the Electron main process. The app later renders that metadata as raw HTML inside privileged Electron views that have Node.js integration enabled. This vulnerability is fixed in 0.1.8.
Severity
9.6 (Critical)
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator (v2.0.3)
CWE
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://github.com/richardhbtz/soundcloud-rpc/sec… | x_refsource_CONFIRM |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| richardhbtz | soundcloud-rpc |
Affected:
< 0.1.8
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CVE-2026-44403 (GCVE-0-2026-44403)
Vulnerability from cvelistv5 – Published: 2026-05-12 20:43 – Updated: 2026-07-14 20:01
VLAI
EPSS
VEX
Title
Wing FTP Server < 8.1.3 Authenticated Remote Code Execution via Session Serialization
Summary
Wing FTP Server before 8.1.3 contains an authenticated remote code execution vulnerability in the session serialization mechanism that allows authenticated administrators to inject arbitrary Lua code through the domain admin mydirectory field. Attackers can exploit unsafe serialization of session values into Lua source code without proper escaping of closing delimiters, causing the injected code to be executed when the poisoned session is loaded via loadfile().
Severity
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator (v2.0.3)
CWE
- CWE-94 - Improper Control of Generation of Code ('Code Injection')
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://www.vulncheck.com/advisories/wing-ftp-ser… | vendor-advisory |
| https://www.wftpserver.com/serverhistory.htm | release-notes |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| Wing FTP Server | Wing FTP Server |
Affected:
8.1.2
(semver)
Unaffected: 8.1.3 (semver) |
Date Public
2026-05-12 00:00
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CVE-2026-44377 (GCVE-0-2026-44377)
Vulnerability from cvelistv5 – Published: 2026-05-13 20:36 – Updated: 2026-05-14 13:55
VLAI
EPSS
VEX
Title
CubeCart: Server-Side Template Injection (SSTI) in Smarty Templates leading to RCE
Summary
CubeCart is an ecommerce software solution. Prior to 6.7.0, an Authenticated Server-Side Template Injection (SSTI) vulnerability exists in multiple modules of CubeCart (including Email Templates and Documents). The application unsafely evaluates user-supplied input directly through the Smarty template engine. By leveraging this, an authenticated attacker with administrative privileges can bypass current restrictions and call native PHP functions within the templates, such as readgzfile() to read sensitive configuration files, or error_log() to write a malicious PHP web shell, ultimately achieving Information Disclosure and full Remote Code Execution (RCE). This vulnerability is fixed in 6.7.0.
Severity
9.1 (Critical)
SSVC
Exploitation: poc
Automatable: no
Technical Impact: total
CISA Coordinator (v2.0.3)
CWE
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://github.com/cubecart/v6/security/advisorie… | x_refsource_CONFIRM |
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CVE-2026-44346 (GCVE-0-2026-44346)
Vulnerability from cvelistv5 – Published: 2026-05-27 17:22 – Updated: 2026-05-28 15:09
VLAI
EPSS
VEX
Title
BentoML: Dockerfile command injection via envs[*].name in bentofile.yaml
Summary
BentoML is a Python library for building online serving systems optimized for AI apps and model inference. Prior to 1.4.39, a malicious bentofile.yaml containing a newline-injected value in envs[*].name produces unquoted RUN directives in the BentoML-generated Dockerfile. When the victim runs bentoml containerize on the imported bento, those RUN directives execute on the host during docker build. This vulnerability is fixed in 1.4.39.
Severity
8.8 (High)
SSVC
Exploitation: poc
Automatable: no
Technical Impact: total
CISA Coordinator (v2.0.3)
CWE
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://github.com/bentoml/BentoML/security/advis… | x_refsource_CONFIRM |
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CVE-2026-44336 (GCVE-0-2026-44336)
Vulnerability from cvelistv5 – Published: 2026-05-08 13:32 – Updated: 2026-05-11 18:33
VLAI
EPSS
VEX
Title
PraisonAI MCP `tools/call` path-traversal and RCE via Python `.pth` injection
Summary
PraisonAI is a multi-agent teams system. Prior to version 4.6.34, PraisonAI's MCP (Model Context Protocol) server (praisonai mcp serve) registers four file-handling tools by default — praisonai.rules.create, praisonai.rules.show, praisonai.rules.delete, and praisonai.workflow.show. Each accepts a path or filename string from MCP tools/call arguments and joins it onto ~/.praison/rules/ (or, for workflow.show, accepts an absolute path) with no containment check. The JSON-RPC dispatcher passes params["arguments"] blind to each handler via **kwargs without validating against the advertised input schema. By setting rule_name="../../<some-path>" an attacker walks out of the rules directory and writes any file the running user can write. Dropping a Python .pth file into the user site-packages directory escalates this primitive to arbitrary code execution in any subsequent Python process the user spawns — the next praisonai CLI invocation, an IDE script run, the user's python REPL, or any background Python service. This issue has been patched in version 4.6.34.
Severity
SSVC
Exploitation: poc
Automatable: no
Technical Impact: total
CISA Coordinator (v2.0.3)
CWE
- CWE-20 - Improper Input Validation
- CWE-22 - Improper Limitation of a Pathname to a Restricted Directory ('Path Traversal')
- CWE-94 - Improper Control of Generation of Code ('Code Injection')
- CWE-829 - Inclusion of Functionality from Untrusted Control Sphere
- CWE-913 - Improper Control of Dynamically-Managed Code Resources
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://github.com/MervinPraison/PraisonAI/securi… | x_refsource_CONFIRM |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| MervinPraison | PraisonAI |
Affected:
< 4.6.34
|
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CVE-2026-44334 (GCVE-0-2026-44334)
Vulnerability from cvelistv5 – Published: 2026-05-08 13:25 – Updated: 2026-05-08 23:20
VLAI
EPSS
VEX
Title
PraisonAI: Unauthenticated RCE via `tool_override.py`
Summary
PraisonAI is a multi-agent teams system. From version 4.5.139 to before version 4.6.32, CVE-2026-40287's fix gated tools.py auto-import behind PRAISONAI_ALLOW_LOCAL_TOOLS=true in two files (tool_resolver.py, api/call.py). A third import sink in praisonai/templates/tool_override.py was missed and remains unguarded. It is reached by the recipe runner on every recipe execution and is remotely triggerable through POST /v1/recipes/run with a recipe value pointing at any local absolute path or any GitHub repo (because SecurityConfig.allow_any_github defaults to True). The attacker drops a tools.py next to TEMPLATE.yaml; the server exec_module()s it. No auth required by default, no environment opt-in required. This issue has been patched in version 4.6.32.
Severity
8.4 (High)
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator (v2.0.3)
CWE
- CWE-94 - Improper Control of Generation of Code ('Code Injection')
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://github.com/MervinPraison/PraisonAI/securi… | x_refsource_CONFIRM |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| MervinPraison | PraisonAI |
Affected:
>= 4.5.139, < 4.6.32
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CVE-2026-44295 (GCVE-0-2026-44295)
Vulnerability from cvelistv5 – Published: 2026-05-13 14:50 – Updated: 2026-05-13 18:20
VLAI
EPSS
VEX
Title
protobufjs-cli: Code injection in pbjs static output from crafted schema names
Summary
protobufjs-cli is the command line add-on for protobuf.js. Prior to 1.2.1 and 2.0.2, pbjs static code generation could emit unsafe JavaScript identifiers derived from schema-controlled names. When generating static JavaScript from a crafted schema or JSON descriptor, certain namespace, enum, service, or derived full names could be written into the generated output without sufficient sanitization. This vulnerability is fixed in 1.2.1 and 2.0.2.
Severity
8.7 (High)
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator (v2.0.3)
CWE
- CWE-94 - Improper Control of Generation of Code ('Code Injection')
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://github.com/protobufjs/protobuf.js/securit… | x_refsource_CONFIRM |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| protobufjs | protobuf.js |
Affected:
>= 2.0.0, < 2.0.2
Affected: < 1.2.1 |
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CVE-2026-44293 (GCVE-0-2026-44293)
Vulnerability from cvelistv5 – Published: 2026-05-13 14:43 – Updated: 2026-07-15 02:45
VLAI
EPSS
VEX
Title
protobufjs: Code injection through bytes field defaults in generated toObject code
Summary
protobufjs compiles protobuf definitions into JavaScript (JS) functions. Prior to 7.5.6 and 8.0.2, protobufjs generated JavaScript for toObject conversion could include an unsafe expression derived from a schema-controlled bytes field default value. A crafted descriptor with a non-string default value for a bytes field could cause attacker-controlled code to be emitted into the generated conversion function. This vulnerability is fixed in 7.5.6 and 8.0.2.
Severity
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator (v2.0.3)
CWE
- CWE-94 - Improper Control of Generation of Code ('Code Injection')
Assigner
References
12 references
| URL | Tags |
|---|---|
| https://github.com/protobufjs/protobuf.js/securit… | x_refsource_CONFIRM |
| https://access.redhat.com/security/cve/CVE-2026-44293 | vdb-entryx_refsource_REDHAT |
| https://bugzilla.redhat.com/show_bug.cgi?id=2477104 | issue-trackingx_refsource_REDHAT |
| https://security.access.redhat.com/data/csaf/v2/v… | x_sadp-csaf-vex |
| https://access.redhat.com/errata/RHSA-2026:34160 | vendor-advisoryx_refsource_REDHAT |
| https://access.redhat.com/errata/RHSA-2026:37385 | vendor-advisoryx_refsource_REDHAT |
| https://access.redhat.com/errata/RHSA-2026:34374 | vendor-advisoryx_refsource_REDHAT |
| https://access.redhat.com/errata/RHSA-2026:26234 | vendor-advisoryx_refsource_REDHAT |
| https://access.redhat.com/errata/RHSA-2026:37628 | vendor-advisoryx_refsource_REDHAT |
| https://access.redhat.com/errata/RHSA-2026:37186 | vendor-advisoryx_refsource_REDHAT |
| https://access.redhat.com/errata/RHSA-2026:29795 | vendor-advisoryx_refsource_REDHAT |
| https://access.redhat.com/errata/RHSA-2026:26090 | vendor-advisoryx_refsource_REDHAT |
Impacted products
20 products
| Vendor | Product | Version | |
|---|---|---|---|
| protobufjs | protobuf.js |
Affected:
< 7.5.6
Affected: >= 8.0.0, < 8.0.2 |
|
| Red Hat | Red Hat Ansible Automation Platform 2.6 for RHEL 9 |
Unaffected:
0:2.6.10-1.el9ap , < *
(rpm)
cpe:/a:redhat:ansible_automation_platform:2.6::el9 |
|
| Red Hat | Red Hat Enterprise Linux 10 |
Unaffected:
0:1.1.1-1.el10_2 , < *
(rpm)
cpe:/o:redhat:enterprise_linux:10.2 |
|
| Red Hat | Red Hat Ansible Automation Platform 2.6 |
Unaffected:
1782761510 , < *
(rpm)
cpe:/a:redhat:ansible_automation_platform:2.6::el9 |
|
| Red Hat | Red Hat Developer Hub 1.9 |
Unaffected:
1781187342 , < *
(rpm)
cpe:/a:redhat:rhdh:1.9::el9 |
|
| Red Hat | Red Hat OpenShift Container Platform 4.20 |
Unaffected:
1783602326 , < *
(rpm)
cpe:/a:redhat:openshift:4.20::el9 |
|
| Red Hat | Red Hat OpenShift Container Platform 4.21 |
Unaffected:
1783502338 , < *
(rpm)
cpe:/a:redhat:openshift:4.21::el9 |
|
| Red Hat | Red Hat OpenShift Container Platform 4.22 |
Unaffected:
1782224390 , < *
(rpm)
cpe:/a:redhat:openshift:4.22::el9 |
|
| Red Hat | Red Hat OpenShift Service Mesh 3.3 |
Unaffected:
1780997382 , < *
(rpm)
cpe:/a:redhat:service_mesh:3.3::el9 |
|
| Red Hat | Red Hat OpenShift Service Mesh 3.3 |
Unaffected:
1780997438 , < *
(rpm)
cpe:/a:redhat:service_mesh:3.3::el9 |
|
| Red Hat | OpenShift Pipelines |
cpe:/a:redhat:openshift_pipelines:1 |
|
| Red Hat | Red Hat Build of Podman Desktop |
cpe:/a:redhat:podman_desktop:1 |
|
| Red Hat | Red Hat Enterprise Linux 8 |
cpe:/o:redhat:enterprise_linux:8 |
|
| Red Hat | Red Hat Enterprise Linux 9 |
cpe:/o:redhat:enterprise_linux:9 |
|
| Red Hat | Red Hat Enterprise Linux AI (RHEL AI) 3 |
cpe:/a:redhat:enterprise_linux_ai:3 |
|
| Red Hat | Red Hat Hardened Images |
cpe:/a:redhat:hummingbird:1 |
|
| Red Hat | Red Hat OpenShift AI (RHOAI) |
cpe:/a:redhat:openshift_ai |
|
| Red Hat | Red Hat OpenShift Container Platform 4 |
cpe:/a:redhat:openshift:4 |
|
| Red Hat | Red Hat Openshift Data Foundation 4 |
cpe:/a:redhat:openshift_data_foundation:4 |
|
| Red Hat | Self-service automation portal 2 |
cpe:/a:redhat:ansible_portal:2 |
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"dateUpdated": "2026-05-13T14:43:33.342Z",
"orgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"shortName": "GitHub_M"
},
"references": [
{
"name": "https://github.com/protobufjs/protobuf.js/security/advisories/GHSA-66ff-xgx4-vchm",
"tags": [
"x_refsource_CONFIRM"
],
"url": "https://github.com/protobufjs/protobuf.js/security/advisories/GHSA-66ff-xgx4-vchm"
}
],
"source": {
"advisory": "GHSA-66ff-xgx4-vchm",
"discovery": "UNKNOWN"
},
"title": "protobufjs: Code injection through bytes field defaults in generated toObject code"
}
},
"cveMetadata": {
"assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"assignerShortName": "GitHub_M",
"cveId": "CVE-2026-44293",
"datePublished": "2026-05-13T14:43:33.342Z",
"dateReserved": "2026-05-05T17:39:31.112Z",
"dateUpdated": "2026-07-15T02:45:59.169Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.2"
}
Mitigation
Architecture and Design
Strategy: Refactoring
Refactor your program so that you do not have to dynamically generate code.
Mitigation
Architecture and Design
- Run your code in a "jail" or similar sandbox environment that enforces strict boundaries between the process and the operating system. This may effectively restrict which code can be executed by your product.
- Examples include the Unix chroot jail and AppArmor. In general, managed code may provide some protection.
- This may not be a feasible solution, and it only limits the impact to the operating system; the rest of your application may still be subject to compromise.
- Be careful to avoid CWE-243 and other weaknesses related to jails.
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.
- To reduce the likelihood of code injection, use stringent allowlists that limit which constructs are allowed. If you are dynamically constructing code that invokes a function, then verifying that the input is alphanumeric might be insufficient. An attacker might still be able to reference a dangerous function that you did not intend to allow, such as system(), exec(), or exit().
Mitigation
Testing
Use dynamic tools and techniques that interact with the product using large test suites with many diverse inputs, such as fuzz testing (fuzzing), robustness testing, and fault injection. The product's operation may slow down, but it should not become unstable, crash, or generate incorrect results.
Mitigation MIT-32
Operation
Strategy: Compilation or Build Hardening
Run the code in an environment that performs automatic taint propagation and prevents any command execution that uses tainted variables, such as Perl's "-T" switch. This will force the program to perform validation steps that remove the taint, although you must be careful to correctly validate your inputs so that you do not accidentally mark dangerous inputs as untainted (see CWE-183 and CWE-184).
Mitigation MIT-32
Operation
Strategy: Environment Hardening
Run the code in an environment that performs automatic taint propagation and prevents any command execution that uses tainted variables, such as Perl's "-T" switch. This will force the program to perform validation steps that remove the taint, although you must be careful to correctly validate your inputs so that you do not accidentally mark dangerous inputs as untainted (see CWE-183 and CWE-184).
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-242: Code Injection
An adversary exploits a weakness in input validation on the target to inject new code into that which is currently executing. This differs from code inclusion in that code inclusion involves the addition or replacement of a reference to a code file, which is subsequently loaded by the target and used as part of the code of some application.
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.
CAPEC-77: Manipulating User-Controlled Variables
This attack targets user controlled variables (DEBUG=1, PHP Globals, and So Forth). An adversary can override variables leveraging user-supplied, untrusted query variables directly used on the application server without any data sanitization. In extreme cases, the adversary can change variables controlling the business logic of the application. For instance, in languages like PHP, a number of poorly set default configurations may allow the user to override variables.