Datadog dd-trace-py is the Datadog Python APM client. Prior to 4.8.2, Datadog tracing libraries that implement W3C baggage propagation parse incoming baggage HTTP headers without enforcing DD_TRACE_BAGGAGE_MAX_ITEMS or DD_TRACE_BAGGAGE_MAX_BYTES limits on the extract path. A remote, unauthenticated attacker can send a request whose baggage header contains an arbitrarily large number of comma-separated key-value pairs or a single very large value, causing unbounded CPU and memory consumption and enabling a remote denial of service against HTTP services with baggage propagation enabled. This issue is fixed in version 4.8.2.

Datadog dd-trace-go is a Go client library for Datadog application performance monitoring, profiling, and security monitoring. Prior to 2.8.1, Datadog tracing libraries that implement W3C baggage propagation parse incoming baggage HTTP headers without enforcing DD_TRACE_BAGGAGE_MAX_ITEMS or DD_TRACE_BAGGAGE_MAX_BYTES limits on the extract path. A remote, unauthenticated attacker can send a request whose baggage header contains an arbitrarily large number of comma-separated key-value pairs or a single very large value, causing unbounded CPU and memory consumption and enabling a remote denial of service against HTTP services with baggage propagation enabled. This issue is fixed in version 2.8.1.

dd-trace is the Datadog APM client for Node.js. Prior to 5.100.0, W3C baggage propagation in packages/dd-trace/src/baggage.js and packages/dd-trace/src/opentracing/propagation/text_map.js parsed incoming baggage HTTP headers without enforcing DD_TRACE_BAGGAGE_MAX_ITEMS or DD_TRACE_BAGGAGE_MAX_BYTES on extraction. A remote, unauthenticated attacker can send a request whose baggage header contains an arbitrarily large number of comma-separated key-value pairs, or a single very large value, causing unbounded CPU and memory consumption and enabling a remote denial of service against any HTTP service with baggage propagation enabled. This issue is fixed in version 5.100.0.

Datadog .NET Tracer is a client library for Datadog APM for .NET applications. Prior to 3.43.0, Datadog tracing libraries that implement W3C baggage propagation parse incoming baggage HTTP headers without enforcing DD_TRACE_BAGGAGE_MAX_ITEMS or DD_TRACE_BAGGAGE_MAX_BYTES on extraction, allowing a remote unauthenticated attacker to send a baggage header with many comma-separated key-value pairs or one very large value and cause unbounded CPU and memory consumption in services with baggage propagation enabled. This issue is fixed in version 3.43.0.

GuardDog is a CLI tool to identify malicious PyPI packages. From 1.0.0 to 2.9.0, the programmatic remote project scanning path rewrites attacker-controlled repository URLs using a blind string replacement and then sends the caller's GitHub credentials with the resulting request. This allows an attacker who can influence the scanned repository URL to trigger SSRF and capture the GH_TOKEN used by GuardDog. This vulnerability is fixed in .

GuardDog is a CLI tool to identify malicious PyPI packages. From 2.6.0 to 2.9.0, GuardDog includes attacker-controlled filenames, file locations, messages, and code snippets in its default human-readable output without escaping terminal control characters. A malicious package can therefore inject ANSI or OSC escape sequences into analyst terminals or CI logs.

dd-trace-java is a Datadog APM client for Java. In versions of dd-trace-java 0.40.0 through prior to 1.60.2, the RMI instrumentation registered a custom endpoint that deserialized incoming data without applying serialization filters. On JDK version 16 and earlier, an attacker with network access to a JMX or RMI port on an instrumented JVM could exploit this to potentially achieve remote code execution. All three of the following conditions must be true to exploit this vulnerability: First, dd-trace-java is attached as a Java agent (`-javaagent`) on Java 16 or earlier. Second, a JMX/RMI port has been explicitly configured via `-Dcom.sun.management.jmxremote.port` and is network-reachable, Third, a gadget-chain-compatible library is present on the classpath. For JDK >= 17, no action is required, but upgrading is strongly encouraged. For JDK >= 8u121 < JDK 17, upgrade to dd-trace-java version 1.60.3 or later. For JDK < 8u121 and earlier where serialization filters are not available, apply the workaround. The workaround is to set the following environment variable to disable the RMI integration: `DD_INTEGRATION_RMI_ENABLED=false`.

GuardDog is a CLI tool to identify malicious PyPI packages. Prior to 2.7.1, there is a path traversal vulnerability exists in GuardDog's safe_extract() function that allows malicious PyPI packages to write arbitrary files outside the intended extraction directory, leading to Arbitrary File Overwrite and Remote Code Execution on systems running GuardDog. This vulnerability is fixed in 2.7.1.

GuardDog is a CLI tool to identify malicious PyPI packages. Prior to 2.7.1, GuardDog's safe_extract() function does not validate decompressed file sizes when extracting ZIP archives (wheels, eggs), allowing attackers to cause denial of service through zip bombs. A malicious package can consume gigabytes of disk space from a few megabytes of compressed data. This vulnerability is fixed in 2.7.1.

The Datadog Agent collects events and metrics from hosts and sends them to Datadog. A vulnerability within the Datadog Linux Host Agent versions 7.65.0 through 7.70.2 exists due to insufficient permissions being set on the `opt/datadog-agent/python-scripts/__pycache__` directory during installation. Code in this directory is only run by the Agent during Agent install/upgrades. This could allow an attacker with local access to modify files in this directory, which would then subsequently be run when the Agent is upgraded, resulting in local privilege escalation. This issue requires local access to the host and a valid low privilege account to be vulnerable. Note that this vulnerability only impacts the Linux Host Agent. Other variations of the Agent including the container, kubernetes, windows host and other agents are not impacted. Version 7.71.0 contains a patch for the issue.

dd-trace-cpp is the Datadog distributed tracing for C++. When the library fails to extract trace context due to malformed unicode, it logs the list of audited headers and their values using the `nlohmann` JSON library. However, due to the way the JSON library is invoked, it throws an uncaught exception, which results in a crash. This vulnerability has been patched in version 0.2.2.

import-in-the-middle is a module loading interceptor specifically for ESM modules. The import-in-the-middle loader works by generating a wrapper module on the fly. The wrapper uses the module specifier to load the original module and add some wrapping code. Prior to version 1.4.2, it allows for remote code execution in cases where an application passes user-supplied input directly to the `import()` function. This vulnerability has been patched in import-in-the-middle version 1.4.2. Some workarounds are available. Do not pass any user-supplied input to `import()`. Instead, verify it against a set of allowed values. If using import-in-the-middle, directly or indirectly, and support for EcmaScript Modules is not needed, ensure that no options are set, either via command-line or the `NODE_OPTIONS` environment variable, that would enable loader hooks.

GuardDog is a CLI tool to identify malicious PyPI packages. Versions prior to 0.1.5 are vulnerable to Relative Path Traversal when scanning a specially-crafted local PyPI package. Running GuardDog against a specially-crafted package can allow an attacker to write an arbitrary file on the machine where GuardDog is executed due to a path traversal vulnerability when extracting the .tar.gz file of the package being scanned, which exists by design in the tarfile.TarFile.extractall function. This issue is patched in version 0.1.5.

GuardDog is a CLI tool to identify malicious PyPI packages. Versions prior to v0.1.8 are vulnerable to arbitrary file write when scanning a specially-crafted remote PyPI package. Extracting files using shutil.unpack_archive() from a potentially malicious tarball without validating that the destination file path is within the intended destination directory can cause files outside the destination directory to be overwritten. This issue is patched in version 0.1.8. Potential workarounds include using a safer module, like zipfile, and validating the location of the extracted files and discarding those with malicious paths.

The Java client for the Datadog API before version 1.0.0-beta.9 has a local information disclosure of sensitive information downloaded via the API using the API Client. The Datadog API is executed on a unix-like system with multiple users. The API is used to download a file containing sensitive information. This sensitive information is exposed locally to other users. This vulnerability exists in the API Client for version 1 and 2. The method `prepareDownloadFilecreates` creates a temporary file with the permissions bits of `-rw-r--r--` on unix-like systems. On unix-like systems, the system temporary directory is shared between users. As such, the contents of the file downloaded via the `downloadFileFromResponse` method will be visible to all other users on the local system. Analysis of the finding determined that the affected code was unused, meaning that the exploitation likelihood is low. The unused code has been removed, effectively mitigating this issue. This issue has been patched in version 1.0.0-beta.9. As a workaround one may specify `java.io.tmpdir` when starting the JVM with the flag `-Djava.io.tmpdir`, specifying a path to a directory with `drw-------` permissions owned by `dd-agent`.