Focus on datadoghq vulnerabilities and metrics.
Last updated: 15 Feb 2026, 23:25 UTC
This page consolidates all known Common Vulnerabilities and Exposures (CVEs) associated with datadoghq. We track both calendar-based metrics (using fixed periods) and rolling metrics (using gliding windows) to give you a comprehensive view of security trends and risk evolution. Use these insights to assess risk and plan your patching strategy.
For a broader perspective on cybersecurity threats, explore the comprehensive list of CVEs by vendor and product. Stay updated on critical vulnerabilities affecting major software and hardware providers.
Total datadoghq CVEs: 7
Earliest CVE date: 05 Aug 2019, 17:15 UTC
Latest CVE date: 13 Jan 2026, 21:15 UTC
Latest CVE reference: CVE-2026-22871
30-day Count (Rolling): 0
365-day Count (Rolling): 2
Calendar-based Variation
Calendar-based Variation compares a fixed calendar period (e.g., this month versus the same month last year), while Rolling Growth Rate uses a continuous window (e.g., last 30 days versus the previous 30 days) to capture trends independent of calendar boundaries.
Month Variation (Calendar): -100.0%
Year Variation (Calendar): 0%
Month Growth Rate (30-day Rolling): -100.0%
Year Growth Rate (365-day Rolling): 0.0%
Average CVSS: 0.91
Max CVSS: 4.3
Critical CVEs (≥9): 0
| Range | Count |
|---|---|
| 0.0-3.9 | 6 |
| 4.0-6.9 | 1 |
| 7.0-8.9 | 0 |
| 9.0-10.0 | 0 |
These are the five CVEs with the highest CVSS scores for datadoghq, sorted by severity first and recency.
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.
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`.
CF CLI version prior to v6.45.0 (bosh release version 1.16.0) writes the client id and secret to its config file when the user authenticates with --client-credentials flag. A local authenticated malicious user with access to the CF CLI config file can act as that client, who is the owner of the leaked credentials.