The Camel-Mail component is vulnerable to Camel message header injection. The custom header filter strategy used by the component (MailHeaderFilterStrategy) only filters the 'out' direction via setOutFilterStartsWith, while it does not configure the 'in' direction via setInFilterStartsWith. As a result, when a Camel application consumes mail through camel-mail (for example via from(\"imap://...\") or from(\"pop3://...\")) the inbound filter check is skipped and Camel-prefixed MIME headers are mapped unfiltered into the Exchange. An attacker who can deliver an email to a mailbox monitored by such a consumer can inject Camel-specific headers that, for some Camel components downstream of the mail consumer (such as camel-bean, camel-exec, or camel-sql), can alter the behaviour of the route. This is the same pattern that was previously addressed in camel-undertow (CVE-2025-30177) and the broader incoming-header filter (CVE-2025-27636 and CVE-2025-29891). This issue affects Apache Camel: from 3.0.0 before 4.14.6, from 4.15.0 before 4.18.1. Users are recommended to upgrade to version 4.19.0, which fixes the issue. If users are on the 4.18.x LTS releases stream, then they are suggested to upgrade to 4.18.1. If users are on the 4.14.x LTS releases stream, then they are suggested to upgrade to 4.14.6.

Locutus brings stdlibs of other programming languages to JavaScript for educational purposes. Prior to 3.0.14, the create_function(args, code) function passes both parameters directly to the Function constructor without any sanitization, allowing arbitrary code execution. This is distinct from CVE-2026-29091 which was call_user_func_array using eval() in v2.x. This finding affects create_function using new Function() in v3.x. This vulnerability is fixed in 3.0.14.

SimpleEval is a library for adding evaluatable expressions into python projects. Prior to 1.0.5, objects (including modules) can leak dangerous modules through to direct access inside the sandbox. If the objects you've passed in as names to SimpleEval have modules or other disallowed / dangerous objects available as attrs. Additionally, dangerous functions or modules could be accessed by passing them as callbacks to other safe functions to call. The latest version 1.0.5 has this issue fixed. This vulnerability is fixed in 1.0.5.

Spinnaker is an open source, multi-cloud continuous delivery platform. Echo like some other services, uses SPeL (Spring Expression Language) to process information - specifically around expected artifacts. In versions prior to 2026.1.0, 2026.0.1, 2025.4.2, and 2025.3.2, unlike orca, it was NOT restricting that context to a set of trusted classes, but allowing FULL JVM access. This enabled a user to use arbitrary java classes which allow deep access to the system. This enabled the ability to invoke commands, access files, etc. Versions 2026.1.0, 2026.0.1, 2025.4.2, and 2025.3.2 contain a patch. As a workaround, disable echo entirely.

The Adversarial Robustness Toolbox (ART) thru 1.20.1 contains a remote code execution vulnerability in its Kubeflow component. The robustness evaluation function for PyTorch models uses the unsafe eval() function to dynamically evaluate user-supplied strings for the LossFn and Optimizer parameters without any sanitization or security restrictions. An attacker can exploit this by providing a specially crafted string that contains arbitrary Python code, which will be executed when eval() is called, leading to complete compromise of the system running the ART evaluation.

The llm CLI tool thru 0.27.1 contains a critical code injection vulnerability via its --functions command-line argument. This argument is intended to allow users to provide custom Python function definitions. However, the tool directly executes the provided code using the unsafe exec() function without any sanitization, sandboxing, or security restrictions. An attacker can exploit this by crafting a malicious llm command with arbitrary Python code in the --functions argument and using social engineering to trick a victim into running it. This leads to arbitrary code execution on the victim's system, potentially granting the attacker full control.

The JSONSerializer and CBORSerializer in APScheduler (all versions including 3.10.x and 4.0.0a5) are vulnerable to Remote Code Execution (RCE) via Insecure Deserialization. The unmarshal_object function allows for arbitrary class instantiation and state injection by dynamically importing modules and calling __setstate__ on any class available in the Python environment. An attacker can exploit this by submitting a specially crafted JSON or CBOR payload to an application using these serializers

Locutus brings stdlibs of other programming languages to JavaScript for educational purposes. Prior to version 3.0.0, a remote code execution (RCE) flaw was discovered in the locutus project, specifically within the call_user_func_array function implementation. The vulnerability allows an attacker to inject arbitrary JavaScript code into the application's runtime environment. This issue stems from an insecure implementation of the call_user_func_array function (and its wrapper call_user_func), which fails to properly validate all components of a callback array before passing them to eval(). This issue has been patched in version 3.0.0.

mchange-commons-java, a library that provides Java utilities, includes code that mirrors early implementations of JNDI functionality, including support for remote `factoryClassLocation` values, by which code can be downloaded and invoked within a running application. If an attacker can provoke an application to read a maliciously crafted `jaxax.naming.Reference` or serialized object, they can provoke the download and execution of malicious code. Implementations of this functionality within the JDK were disabled by default behind a System property that defaults to `false`, `com.sun.jndi.ldap.object.trustURLCodebase`. However, since mchange-commons-java includes an independent implementation of JNDI derefencing, libraries (such as c3p0) that resolve references via that implementation could be provoked to download and execute malicious code even after the JDK was hardened. Mirroring the JDK patch, mchange-commons-java's JNDI functionality is gated by configuration parameters that default to restrictive values starting in version 0.4.0. No known workarounds are available. Versions prior to 0.4.0 should be avoided on application CLASSPATHs.

A chained attack via SQL Expressions and a Grafana Enterprise plugin can lead to a remote arbitrary code execution impact (RCE). This is enabled by a feature in Grafana (OSS), so all users are always recommended to update to avoid future attack vectors going this path. Only instances with the sqlExpressions feature toggle enabled are vulnerable. Only instances in the following version ranges are affected: - 11.6.0 (inclusive) to 11.6.14 (exclusive): 11.6.14 has the fix. 11.5 and below are not affected. - 12.0.0 (inclusive) to 12.1.10 (exclusive): 12.1.10 has the fix. 12.0 did not receive an update, as it is end-of-life. - 12.2.0 (inclusive) to 12.2.8 (exclusive): 12.2.8 has the fix. - 12.3.0 (inclusive) to 12.3.6 (exclusive): 12.3.6 has the fix. - 12.4.0 (inclusive) to 12.4.2 (exclusive): 12.4.2 has the fix. 13.0.0 and above also have the fix: no v13 release is affected.

A flaw was discovered in jackson-databind in versions before 2.9.10, 2.8.11.5 and 2.6.7.3, where it would permit polymorphic deserialization of a malicious object using commons-configuration 1 and 2 JNDI classes. An attacker could use this flaw to execute arbitrary code.

The ConsulRegistry in the camel-consul component (class org.apache.camel.component.consul.ConsulRegistry and its inner ConsulRegistryUtils.deserialize method) read Java-serialized values from the Consul KV store and passed them to ObjectInputStream.readObject() without configuring an ObjectInputFilter. An attacker who can write to the Consul KV store backing a Camel ConsulRegistry instance could inject a malicious serialized Java object that is deserialized the next time Camel performs a lookup against that registry, leading to arbitrary code execution in the Camel process. The issue mirrors the class of vulnerability already addressed for other Camel components in CVE-2024-22369, CVE-2024-23114 and CVE-2026-25747, and was overlooked during the original remediation of those CVEs. This issue affects Apache Camel: from 3.0.0 before 4.14.6, from 4.15.0 before 4.18.1. Users are recommended to upgrade to version 4.19.0, which fixes the issue. If users are on the 4.14.x LTS releases stream, then they are suggested to upgrade to 4.14.6. If users are on the 4.18.x releases stream, then they are suggested to upgrade to 4.18.1.

In PyTorch before trunk/89695, torch.jit.annotations.parse_type_line can cause arbitrary code execution because eval is used unsafely.

A flaw was discovered in FasterXML jackson-databind in all versions before 2.9.10 and 2.10.0, where it would permit polymorphic deserialization of malicious objects using the xalan JNDI gadget when used in conjunction with polymorphic type handling methods such as `enableDefaultTyping()` or when @JsonTypeInfo is using `Id.CLASS` or `Id.MINIMAL_CLASS` or in any other way which ObjectMapper.readValue might instantiate objects from unsafe sources. An attacker could use this flaw to execute arbitrary code.

Backstage is an open framework for building developer portals, and @backstage/plugin-techdocs-node provides common node.js functionalities for TechDocs. In versions of @backstage/plugin-techdocs-node prior to 1.13.11 and 1.14.1, when TechDocs is configured with `runIn: local`, a malicious actor who can submit or modify a repository's `mkdocs.yml` file can execute arbitrary Python code on the TechDocs build server via MkDocs hooks configuration. @backstage/plugin-techdocs-node versions 1.13.11 and 1.14.1 contain a fix. The fix introduces an allowlist of supported MkDocs configuration keys. Unsupported configuration keys (including `hooks`) are now removed from `mkdocs.yml` before running the generator, with a warning logged to indicate which keys were removed. Users of `@techdocs/cli` should also upgrade to the latest version, which includes the fixed `@backstage/plugin-techdocs-node` dependency. Some workarounds are available. Configure TechDocs with `runIn: docker` instead of `runIn: local` to provide container isolation, though it does not fully mitigate the risk. Limit who can modify `mkdocs.yml` files in repositories that TechDocs processes; only allow trusted contributors. Implement PR review requirements for changes to `mkdocs.yml` files to detect malicious `hooks` configurations before they are merged. Use MkDocs < 1.4.0 (e.g., 1.3.1) which does not support hooks. Note: This may limit access to newer MkDocs features. Building documentation in CI/CD pipelines using `@techdocs/cli` does not mitigate this vulnerability, as the CLI uses the same vulnerable `@backstage/plugin-techdocs-node` package.

vm2 is an open source vm/sandbox for Node.js. Prior to version 3.11.0, VM2 suffers from a sandbox breakout vulnerability through the inspect function. This allows attackers to write code which can escape from the VM2 sandbox and execute arbitrary commands on the host system. This issue has been patched in version 3.11.0.

vm2 is an open source vm/sandbox for Node.js. Prior to version 3.11.0, VM2 suffers from a sandbox breakout vulnerability. This allows attackers to write code which can escape from the VM2 sandbox and execute arbitrary commands on the host system. This issue has been patched in version 3.11.0.

vm2 is an open source vm/sandbox for Node.js. Prior to version 3.10.5, the fix for CVE-2023-37466 is insufficient and can be circumvented allowing attackers to write code which can escape from the VM2 sandbox and execute arbitrary commands on the host system. This issue has been patched in version 3.10.5.

Vulnerability in the Oracle Java SE, Oracle GraalVM for JDK, Oracle GraalVM Enterprise Edition product of Oracle Java SE (component: JAXP). Supported versions that are affected are Oracle Java SE: 8u481, 8u481-b50, 8u481-perf, 11.0.30, 17.0.18, 21.0.10, 25.0.2, 26; Oracle GraalVM for JDK: 17.0.18 and 21.0.10; Oracle GraalVM Enterprise Edition: 21.3.17. Easily exploitable vulnerability allows unauthenticated attacker with network access via multiple protocols to compromise Oracle Java SE, Oracle GraalVM for JDK, Oracle GraalVM Enterprise Edition. Successful attacks of this vulnerability can result in unauthorized access to critical data or complete access to all Oracle Java SE, Oracle GraalVM for JDK, Oracle GraalVM Enterprise Edition accessible data. Note: This vulnerability can be exploited by using APIs in the specified Component, e.g., through a web service which supplies data to the APIs. This vulnerability also applies to Java deployments, typically in clients running sandboxed Java Web Start applications or sandboxed Java applets, that load and run untrusted code (e.g., code that comes from the internet) and rely on the Java sandbox for security. CVSS 3.1 Base Score 7.5 (Confidentiality impacts). CVSS Vector: (CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N).

Versions of the package jsonpath before 1.3.0 are vulnerable to Arbitrary Code Injection via unsafe evaluation of user-supplied JSON Path expressions. The library relies on the static-eval module to process JSON Path input, which is not designed to handle untrusted data safely. An attacker can exploit this vulnerability by supplying a malicious JSON Path expression that, when evaluated, executes arbitrary JavaScript code, leading to Remote Code Execution in Node.js environments or Cross-site Scripting (XSS) in browser contexts. This affects all methods that evaluate JSON Paths against objects, including .query, .nodes, .paths, .value, .parent, and .apply.

The Node.js package browserstack-local 1.5.8 contains a command injection vulnerability. This occurs because the logfile variable is not properly sanitized in lib/Local.js.

Backstage is an open platform for building developer portals. The Backstage scaffolder-backend plugin uses a templating library that requires sandbox, as it by design allows for code injection. The library used for this sandbox so far has been `vm2`, but in light of several past vulnerabilities and existing vulnerabilities that may not have a fix, the plugin has switched to using a different sandbox library. A malicious actor with write access to a registered scaffolder template could manipulate the template in a way that allows for remote code execution on the scaffolder-backend instance. This was only exploitable in the template YAML definition itself and not by user input data. This is vulnerability is fixed in version 1.15.0 of `@backstage/plugin-scaffolder-backend`.

A vulnerability was found in docarray up to 0.40.1. It has been rated as critical. Affected by this issue is the function __getitem__ of the file /docarray/data/torch_dataset.py of the component Web API. The manipulation leads to improperly controlled modification of object prototype attributes ('prototype pollution'). The attack may be launched remotely. The exploit has been disclosed to the public and may be used. The vendor was contacted early about this disclosure but did not respond in any way.

A flaw was found in GLib. GVariant deserialization is vulnerable to an exponential blowup issue where a crafted GVariant can cause excessive processing, leading to denial of service.

A flaw was found in the GTK library. Under certain conditions, it is possible for a library to be injected into a GTK application from the current working directory.

A flaw was found in GLib. A denial of service on Windows platforms may occur if an application attempts to spawn a program using long command lines.

A flaw was found where some utility classes in Drools core did not use proper safeguards when deserializing data. This flaw allows an authenticated attacker to construct malicious serialized objects (usually called gadgets) and achieve code execution on the server.

python jsonpickle 2.0.0 contains a remote code execution vulnerability that allows attackers to execute arbitrary Python commands by deserializing malicious JSON payloads containing py/repr objects. Attackers can craft JSON strings with py/repr directives that invoke the eval function during deserialization to execute arbitrary code.

# Active Storage allowed transformation methods potentially unsafe Active Storage attempts to prevent the use of potentially unsafe image transformation methods and parameters by default. The default allowed list contains three methods allow for the circumvention of the safe defaults which enables potential command injection vulnerabilities in cases where arbitrary user supplied input is accepted as valid transformation methods or parameters. Impact ------ This vulnerability impacts applications that use Active Storage with the image_processing processing gem in addition to mini_magick as the image processor. Vulnerable code will look something similar to this: ``` <%= image_tag blob.variant(params[:t] => params[:v]) %> ``` Where the transformation method or its arguments are untrusted arbitrary input. All users running an affected release should either upgrade or use one of the workarounds immediately. Workarounds ----------- Consuming user supplied input for image transformation methods or their parameters is unsupported behavior and should be considered dangerous. Strict validation of user supplied methods and parameters should be performed as well as having a strong [ImageMagick security policy](https://imagemagick.org/script/security-policy.php) deployed. Credits ------- Thank you [lio346](https://hackerone.com/lio346) for reporting this!

A flaw was found in the Fence Agents Remediation operator. This vulnerability can allow a Remote Code Execution (RCE) primitive by supplying an arbitrary command to execute in the --ssh-path/--telnet-path arguments. A low-privilege user, for example, a user with developer access, can create a specially crafted FenceAgentsRemediation for a fence agent supporting  --ssh-path/--telnet-path arguments to execute arbitrary commands on the operator's pod. This RCE leads to a privilege escalation, first as the service account running the operator, then to another service account with cluster-admin privileges.

jsPDF is a library to generate PDFs in JavaScript. Prior to version 4.2.1, user control of arguments of the `createAnnotation` method allows users to inject arbitrary PDF objects, such as JavaScript actions. If given the possibility to pass unsanitized input to the following method, a user can inject arbitrary PDF objects, such as JavaScript actions, which might trigger when the PDF is opened or interacted with the `createAnnotation`: `color` parameter. The vulnerability has been fixed in jsPDF@4.2.1. As a workaround, sanitize user input before passing it to the vulnerable API members.

Insufficient validation of node IDs in Qt SVG module allows arbitrary QML/JavaScript code injection when loading malicious SVG files through the VectorImage component in Qt Quick. While QML execution is typically more restricted than native code execution, this could still lead to denial of service, information disclosure, or other impacts depending on the application's privilege level and data access.

A critical vulnerability exists in the NLTK downloader component of nltk/nltk, affecting all versions. The _unzip_iter function in nltk/downloader.py uses zipfile.extractall() without performing path validation or security checks. This allows attackers to craft malicious zip packages that, when downloaded and extracted by NLTK, can execute arbitrary code. The vulnerability arises because NLTK assumes all downloaded packages are trusted and extracts them without validation. If a malicious package contains Python files, such as __init__.py, these files are executed automatically upon import, leading to remote code execution. This issue can result in full system compromise, including file system access, network access, and potential persistence mechanisms.

A flaw was found in the Keycloak LDAP User Federation provider. This vulnerability allows an authenticated realm administrator to trigger deserialization of untrusted Java objects via a malicious LDAP server configuration.

A high-severity remote code execution vulnerability exists in feast-dev/feast version 0.53.0, specifically in the Kubernetes materializer job located at `feast/sdk/python/feast/infra/compute_engines/kubernetes/main.py`. The vulnerability arises from the use of `yaml.load(..., Loader=yaml.Loader)` to deserialize `/var/feast/feature_store.yaml` and `/var/feast/materialization_config.yaml`. This method allows for the instantiation of arbitrary Python objects, enabling an attacker with the ability to modify these YAML files to execute OS commands on the worker pod. This vulnerability can be exploited before the configuration is validated, potentially leading to cluster takeover, data poisoning, and supply-chain sabotage.

In PyTorch <=2.4.1, the RemoteModule has Deserialization RCE. NOTE: this is disputed by multiple parties because this is intended behavior in PyTorch distributed computing.

A further incomplete fix for a previous advisory CVE-2026-44417 (Untrusted JMS configuration can lead to RCE) for Apache CXF has been identified, which can allow code execution capabilities, if untrusted users are allowed to configure JMS for Apache CXF. Users are recommended to upgrade to versions 4.2.2 or 4.1.7, which fixes this issue.

IO::Compress versions before 2.220 for Perl can execute arbitrary code in File::GlobMapper via an attacker-controlled output glob. _parseOutputGlob() wraps the caller-supplied output glob string in double quotes and stores it in the parser state; _getFiles() then runs the stored expression through eval STRING. A literal double quote in the output glob closes the dquote wrapper, and the characters that follow are evaluated as Perl. Arbitrary Perl in the output glob executes at the calling process's privilege.

A vulnerability was identified in PyTorch 2.10.0. The affected element is an unknown function of the component pt2 Loading Handler. The manipulation leads to deserialization. The attack can only be performed from a local environment. The exploit is publicly available and might be used. The project was informed of the problem early through a pull request but has not reacted yet.

A code injection vulnerability in version 0.4.17 or later of the ChromaDB Python project allows an authenticated attacker to run arbitrary code on the server by sending a malicious model repository and trust_remote_code set to true in the /api/v2/tenants/default_tenant/databases/default_database/collections/{collection_id} if they have the UPDATE_COLLECTION permission.

vm2 is an open source vm/sandbox for Node.js. Prior to 3.11.0, it is possible to obtain the host Object. There are various ways to use the host Object, to escape the sandbox, one example would be using HostObject.getOwnPropertySymbols to obtain Symbol(nodejs.util.inspect.custom). This vulnerability is fixed in 3.11.0.

vm2 is an open source vm/sandbox for Node.js. From 3.9.6 to 3.10.5, vm2's bridge exposes mutable proxies for real host-realm intrinsic prototypes and then forwards sandbox writes into the underlying host objects with otherReflectSet() and otherReflectDefineProperty(), which lets attacker-controlled JavaScript running in a default VM or inherited NodeVM mutate shared host Object.prototype, Array.prototype, and Function.prototype from inside the sandbox This vulnerability is fixed in 3.11.0.

vm2 is an open source vm/sandbox for Node.js. Prior to 3.11.0, It is possible to reach BaseHandler.getPrototypeOf, which can be used to get arbitrary prototypes. This vulnerability is fixed in 3.11.0.

LiteLLM is a proxy server (AI Gateway) to call LLM APIs in OpenAI (or native) format. From version 1.80.5 to before version 1.83.7, the POST /prompts/test endpoint accepted user-supplied prompt templates and rendered them without sandboxing. A crafted template could run arbitrary code inside the LiteLLM Proxy process. The endpoint only checks that the caller presents a valid proxy API key, so any authenticated user could reach it. Depending on how the proxy is deployed, this could expose secrets in the process environment (such as provider API keys or database credentials) and allow commands to be run on the host. This issue has been patched in version 1.83.7.

JsonKafkaHeaderMapper and the deprecated DefaultKafkaHeaderMapper matched type headers against trusted packages using a prefix check, meaning that trusting any package implicitly trusted all of its subpackages. Combined with Jackson's default bean deserialization, a producer could supply crafted header values that caused the consumer to deserialize arbitrary JDK types. Affected versions: Spring for Apache Kafka 4.0.0 through 4.0.5; 3.3.0 through 3.3.15; 3.2.0 through 3.2.13; 2.9.0 through 2.9.13; 2.8.0 through 2.8.11.