Datadog vulnerabilities

26 vulnerabilities

Known vulnerabilities in Datadog products, newest first, with CVSS severity, EPSS, KEV listings and ransomware use, across 14 products.

Products

14
4.3CVE-2021-21331datadogdatadog-api-client-java+2
EPSS score
0.63%
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`.7CVE-2025-61667datadogdatadog-agent
EPSS score
0.12%
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.6.5CVE-2022-23530datadogguarddog+2
EPSS score
0.75%
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.7.8CVE-2022-23531datadogguarddog+2
EPSS score
0.73%
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 0.1.5.7.5CVE-2024-38525datadogdd-trace-cpp
EPSS score
0.43%
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 0.2.2.7.5CVE-2026-54788Crates.Iodatadog-opentelemetry+1
EPSS score
0.79%
dd-trace-rs provides Datadog application performance monitoring for Rust. From 0.1.0 until 0.3.3, datadog-opentelemetry/src/propagation/tracecontext.rs parses the W3C tracestate header and collects every semicolon-separated key and value pair in the Datadog dd=... vendor entry into a HashMap without enforcing a pair count or entry size limit. Because tracecontext extraction is enabled by default, a remote unauthenticated attacker can send an arbitrarily large dd=... entry and force excessive CPU and memory consumption for each request, causing denial of service in an instrumented network service. This vulnerability is fixed in 0.3.3.6.5CVE-2026-47364datadogandroid app
EPSS score
0.44%
In versions of the Datadog Android application prior to v545-5.9.2, the app tags Crashlytics data with the user's Datadog UUID, with no user-facing opt-out. Impact: The Datadog user UUID and crash data are visible within Firebase Crashlytics. This UUID is not identifying outside Datadog's own systems.6.4CVE-2026-47361datadogandroid app
EPSS score
0.29%
In versions of the Datadog Android application prior to v541-5.9.2, BubbleChatActivity is exported with no permission guard and accepts a SEND intent with a caller-supplied conversation_id. When the activity closes and no in-process session matches that ID, it unconditionally cancels notification ID 9201 (the Bits AI chat notification), with no check on the caller's identity or ownership of the conversation. This requires a malicious application co-installed on the victim's device. Impact: A co-installed application can silently dismiss the victim's Bits AI chat notification. No chat content is exposed; conversation data remains server-authentication gated and is never returned to the caller.6.3CVE-2026-47363datadogandroid app
EPSS score
0.26%
In versions of the Datadog Android application prior to v541-5.9.2, the exported launcher activity AppActivity accepts an attacker-supplied session (including OAuth tokens) from Intent extras with no permission guard, and signs the app into that session without validating it against the backend. This requires a malicious application co-installed on a device with the Datadog app installed, and an OAuth token the attacker is willing to load into the victim's app. Impact: A co-installed application can switch the victim's Datadog app to a session the attacker controls. This is an account-confusion issue; it does not by itself expose the victim's existing session or data.4.6CVE-2026-47362datadogandroid app
EPSS score
0.24%
In versions of the Datadog Android application prior to v554-5.9.4, two Room-backed SQLite databases store sensitive content in plaintext: LocalNotificationDatabase (notification title, message, recipient, service, tags, and on-call/incident deep links) and SearchRecentDatabase (the user's full in-app search history). Impact: Any actor able to bypass the app sandbox can read these databases in plaintext.7.5CVE-2026-22870datadogguarddog+2
EPSS score
0.51%
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 2.7.1.9.8CVE-2026-22871datadogguarddog+2
EPSS score
1.06%
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 2.7.1.5.5CVE-2026-44965datadogandroid app
EPSS score
0.16%
In versions of the Datadog Android application prior to v545-5.9.2, six App Widget configuration activities (IncidentWidgetActivity, MonitorSavedViewWidgetActivity, OnCallShiftsWidgetActivity, OnCallPagesWidgetActivity, SloWidgetActivity, DashboardWidgetActivity) are exported with no permission guard. Each accepts a caller-supplied AppWidgetManager.EXTRA_APPWIDGET_ID and, when no deep-link destination is resolved, uses it to load the matching widget's stored session and automatically log in as that user. Because Android widget IDs are small sequential integers, a co-installed application can brute-force this value to find one that matches a widget configured on the victim's device. This requires: A malicious application co-installed on the victim's device. At least one of the six widgets configured on the victim's home screen. An active Datadog session cached locally. Impact: The matching configuration activity opens in the foreground under the victim's session and renders live infrastructure data. Exposure is limited to a visual side channel (e.g., screen recording or accessibility services); the calling application cannot programmatically read the rendered data.8.2CVE-2026-44971datadogguarddog+1
EPSS score
0.34%
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 .6.5CVE-2026-44964datadogandroid app
EPSS score
0.34%
In versions of the Datadog Android application prior to v545-5.9.2, OnCallNotificationActivity is declared exported with no permission guard. A co-installed application can launch it with attacker-controlled Intent extras, including a full-screen lock-screen message, an arbitrary on-call page ID, and an arbitrary Intent to run inside the Datadog process. This requires: A malicious application co-installed on the victim's device. An active Datadog session in the Android app. Impact: After a single tap on the Acknowledge button, the app sends a forged on-call acknowledgement to the backend under the victim's session, launches the attacker-supplied Intent from within the Datadog process (reaching otherwise non-exported components), and turns on the screen while dismissing the keyguard.5CVE-2026-44972datadogguarddog+1
EPSS score
0.15%
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.7.5CVE-2026-50271chainguarddatadog-agent-7.71-core-integrations+34
EPSS score
0.79%
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 4.8.2.7.5CVE-2026-50276datadogdd-trace-rb+1
EPSS score
0.79%
dd-trace-rb is Datadog's client library for Ruby. Prior to 2.32.0, W3C baggage extraction does not enforce DD_TRACE_BAGGAGE_MAX_ITEMS, which defaults to 64, or DD_TRACE_BAGGAGE_MAX_BYTES, which defaults to 8192, although those limits apply during baggage injection. A remote unauthenticated attacker can send a baggage HTTP header containing many comma-separated key-value pairs or a single very large value. The extraction path allocates entries while parsing the attacker-controlled header on every request, causing unbounded CPU and memory consumption in an HTTP service where the baggage propagation style is enabled, which is the default for most affected tracers. This can cause denial of service. This issue is fixed in version 2.32.0.7.5CVE-2026-50273datadogdd-trace-dotnet+2
EPSS score
0.79%
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 3.43.0.7.5CVE-2026-50272chainguardlangfuse-2+5
EPSS score
0.79%
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.