MediumCVE-2026-47363

    Datadog Android App: Improper Export of Android Application Components (CVE-2026-47363)

    Published Last modified Sources: CVE.org

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    What is affected, what to do

    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.

    The available sources name no fixed version. Check the vendor guidance in the references below.

    Conflicting version data — version display is hidden until the data is resolved.

    Not sure whether and how you are affected? Ask a question about this vulnerability

    Metrics

    6.3

    Priority

    XIEM Effective CVSS: highest available CVSS rating from NVD and vendor data.

    Source: Vendor (CNA), CVSS v3

    6.3

    CVSS v3

    Severity Medium on the scale from 0 to 10.

    Source: CVE.org

    0.3 %

    EPSS score

    Low — model estimates < 1% exploitation likelihood.

    Source: FIRST EPSS, percentile 18.2

    Show all metrics
    Severity
    Medium
    Priority (0–325)

    The priority score is a consolidated metric that condenses several individual signals into a single, action-guiding ranking: technical severity (CVSS), exploitation likelihood (EPSS), known-exploited status (KEV) and the context of the affected asset. The aim is to answer the only truly important question in vulnerability management: what first?

    Read in glossary
    56.35 Methodology
    Exploit maturity

    An exploit is code or a technique that specifically uses a concrete vulnerability to force unintended behaviour — such as executing code or escalating privileges. It is the tool that turns a theoretical flaw into a practical attack.

    Read in glossary
    no public PoC known
    XIEM Effective CVSS

    XIEM® is the tiered managed-security operating model from NEOSEC and a registered trademark of NEOSEC GmbH. It extends classic SIEM — the central collection, normalisation and correlation of security-relevant events — with endpoint forensics, network visibility and deception technology, and consolidates them into three building tiers: Sentry, Orchestrate and Command.

    Read in glossary
    6.3 Methodology
    CVSS v3

    CVSS is the globally established, open standard for assessing the technical severity of a vulnerability on a scale from 0 to 10. It describes how easily a flaw can be exploited and what damage it can cause — but not how likely its actual exploitation is. CVSS and the complementary EPSS deliberately answer different questions.

    Read in glossary
    6.3
    EPSS score

    The EPSS score is the absolute model output for an individual vulnerability: the estimated probability of real-world exploitation within the next 30 days, expressed as a value between 0 and 1 (i.e. 0 % to 100 %). A score of 0.42 means „the model estimates a 42 % chance of real-world exploitation within 30 days“.

    Read in glossary
    0.3 %
    Low — model estimates < 1% exploitation likelihood.
    EPSS percentile

    The EPSS percentile is the relative position of a vulnerability within all EPSS-scored CVEs, expressed as a value between 0 and 1. A percentile of 0.90 means „this CVE has a higher EPSS score than 90 % of all other scored CVEs“. Unlike the EPSS score, it is not a probability — but a positioning within a ranking.

    Read in glossary
    18.2
    Elevated — this CVE ranks above at least 10% of all CVEs scored today.
    KEV status

    The KEV catalogue is a list maintained by the US authority CISA of vulnerabilities for which active exploitation in the wild has been confirmed. It answers not the question „how severe?“ but „is it already being attacked?“ — thereby sharply prioritising patching.

    Read in glossary
    —
    Published
    CISA assessment (SSVC)
    Exploitation: none known · not automatable · Technical impact: partial
    Source: CISA Vulnrichment, as of 7 August 2026
    CWE

    CWE is a catalogue of typical weakness types in software and hardware — such as flawed input validation, unsafe memory handling or poor authentication. Where a CVE names a concrete vulnerability in a concrete product, a CWE describes the underlying class of defect.

    Read in glossary
    CWE-926

    Detection rules

    No NEOSEC detection rule is available for this vulnerability yet.

    Classification under NIS2 and CRA

    Rule-based classification from exploitation status and severity. It does not replace a case-by-case assessment.

    NIS2

    NIS2 is EU Directive (EU) 2022/2555 to raise the level of cybersecurity across the Union. It substantially broadens obligations compared with the first NIS directive: more sectors, mandatory risk management, staged reporting duties and personal accountability of senior management.

    Read in glossary
    Handle the vulnerability in regular vulnerability handling under Art. 21(2)(e) NIS2.
    CRA

    The CRA is EU Regulation (EU) 2024/2847 setting horizontal cybersecurity requirements for „products with digital elements“ — from industrial controllers and software to connected consumer devices. For the first time manufacturers must ensure security across the entire product lifecycle, handle vulnerabilities and provide security updates.

    Read in glossary
    From 11.12.2027, Annex I Part II CRA requires manufacturers of affected products with digital elements to handle vulnerabilities without delay and provide security updates.
    ISO/IEC 27001

    ISO/IEC 27001 is the internationally leading standard for an information security management system (ISMS). It describes a risk-based, process-oriented framework to systematically plan, implement, review and improve information security.

    Read in glossary
    Control A.8.8, management of technical vulnerabilities: assess relevance to your systems, plan remediation and keep evidence.

    Description

    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.

    Source: cvelistv5, NVD (NIST)

    Affected products

    The following versions are affected. Older releases of the same product line are also vulnerable unless stated otherwise.

    Affected products
    Affected versionsFixed in
    DatadogAndroid App
    • < 5.9.2
    • 5.9.2

    Vendors and products

    Weakness classes (CWE)

    • CWE-926Improper Export of Android Application Components

      Variant

      The Android application exports a component for use by other applications, but does not properly restrict which applications can launch the component or access the data it contains.

      Entry at MITRE CWE-926

    References & sources

    Changes to this CVE

    Who changed this CVE and when: NVD (analysis, affected products, CVSS), the CVE publisher (CNA) and additional providers such as CISA (ADP).

    1. Record modifiedHackerOne

      Description added or changed

      Show the original change
      Individual changes of this event as published by NVD
      TypeActionBeforeAfter
      Descriptionchanged
      The launcher activity AppActivity in the Datadog Android application is declared android:exported="true" with launchMode="singleTask" and no permission guard. On every onCreate and onNewIntent, it invokes Intent.getUserSession(), an extension that deserializes a full UserSession — user identity, OAuth access and refresh tokens, host, organization, datacenter, and permissions — from Bundle extras keyed under the com.datadog.app.* namespace. This extension lives in the main sourceset, not a test-only sourceset, despite a misleading comment referencing internal test fixtures. Any application installed on the device can invoke the launcher with arbitrary session extras. The startup pipeline accepts the injected session, persists it to user storage, optionally rotates persisted token storage when an OAUTH_OVERRIDE_TOKEN extra is set, and performs an automatic login under the attacker-chosen identity. The session preparer returns Ready without contacting the backend whenever the injected access token is not flagged as expired-or-expiring-soon, so no server-side token introspection takes place before auto-login. Preconditions: the Datadog application installed on the victim device, and a zero-permission co-installed malicious application. The attacker must possess any OAuth access token they are willing to have the victim use, including the attacker's own Datadog tokens.
      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.

      Source identifier: support@hackerone.com

    2. Record modifiedCISA ADP

      CVSS V3.1: AV:N/AC:L/PR:N/UI:R/S:U/C:L/I:L/A:L

      CISA assessment (SSVC): exploitation: none known, automatable: no

      Show 2 original changes
      Individual changes of this event as published by NVD
      TypeActionBeforeAfter
      CVSSadded
      —
      AV:N/AC:L/PR:N/UI:R/S:U/C:L/I:L/A:L
      SSVC assessmentadded
      —
      {"id":"CVE-2026-47363","role":"CISA Coordinator","options":[{"exploitation":"none"},{"automatable":"no"},{"technicalImpact":"partial"}],"version":"2.0.3","timestamp":"2026-08-07T18:33:35.578365Z"}

      Source identifier: 134c704f-9b21-4f2e-91b3-4a467353bcc0

    3. ReceivedHackerOne

      Show 5 original changes
      Individual changes of this event as published by NVD
      TypeActionBeforeAfter
      Affected versions (publisher)added
      —
      Android App
      Descriptionadded
      —
      The launcher activity AppActivity in the Datadog Android application is declared android:exported="true" with launchMode="singleTask" and no permission guard. On every onCreate and onNewIntent, it invokes Intent.getUserSession(), an extension that deserializes a full UserSession — user identity, OAuth access and refresh tokens, host, organization, datacenter, and permissions — from Bundle extras keyed under the com.datadog.app.* namespace. This extension lives in the main sourceset, not a test-only sourceset, despite a misleading comment referencing internal test fixtures. Any application installed on the device can invoke the launcher with arbitrary session extras. The startup pipeline accepts the injected session, persists it to user storage, optionally rotates persisted token storage when an OAUTH_OVERRIDE_TOKEN extra is set, and performs an automatic login under the attacker-chosen identity. The session preparer returns Ready without contacting the backend whenever the injected access token is not flagged as expired-or-expiring-soon, so no server-side token introspection takes place before auto-login. Preconditions: the Datadog application installed on the victim device, and a zero-permission co-installed malicious application. The attacker must possess any OAuth access token they are willing to have the victim use, including the attacker's own Datadog tokens.
      Weakness type (CWE)added
      —
      CWE-926
      Referenceadded
      —
      https://cwe.mitre.org/data/definitions/926.html
      Referenceadded
      —
      https://trust.datadoghq.com/?tcuUid=2e8b8fa5-39ca-43f4-9f6a-aeafafb440ef

      Source identifier: support@hackerone.com

    One NVD translation into another language is hidden.

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