Datadog Android App: Improper Export of Android Application Components (CVE-2026-44965)
Published Last modified Sources: CVE.org
What is affected, what to do
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.
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.
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Metrics
5.5
Priority
XIEM Effective CVSS: highest available CVSS rating from NVD and vendor data.
Source: Vendor (CNA), CVSS v3
5.5
CVSS v3
Severity Medium on the scale from 0 to 10.
Source: CVE.org
0.2 %
EPSS score
Low — model estimates < 1% exploitation likelihood.
Source: FIRST EPSS, percentile 5.3
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- 49.84 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- 5.5 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- 5.5
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- 0.2 %
- 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- 5.3
- Low — this CVE sits in the lower 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 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.
Source: NVD (NIST), cvelistv5
Affected products
The following versions are affected. Older releases of the same product line are also vulnerable unless stated otherwise.
| Affected versions | Fixed in | ||
|---|---|---|---|
| Datadog | Android App |
|
|
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
- trust.datadoghq.com?tcuUid=2e8b8fa5-39ca-43f4-9f6a-aeafafb440ef
- cwe.mitre.orgdata/definitions/926.html
- developer.android.comdevelop/ui/views/appwidgets/configuration
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).
Record modifiedHackerOne
Description added or changed
Show the original change
Individual changes of this event as published by NVD Type Action Before After Description changed Six Android App Widget configuration activities in the Datadog Android application are declared android:exported="true" with no permission guard: IncidentWidgetActivity, MonitorSavedViewWidgetActivity, OnCallShiftsWidgetActivity, OnCallPagesWidgetActivity, SloWidgetActivity, and DashboardWidgetActivity. All six extend a shared base WidgetActivity that reads AppWidgetManager.EXTRA_APPWIDGET_ID from Intent extras and, when no resolved deep-link destination is supplied, uses that caller-controlled widget ID to look up the stored widget definition, fetch the associated user session, and perform an automatic login with source UserSessionSourceLogin.Automatic. Android App Widget IDs are small sequential integers assigned by AppWidgetManager. A zero-permission co-installed application can brute-force them by launching any of the six configuration activities with EXTRA_APPWIDGET_ID set to 1..N until one matches a configured widget on the victim device. When a match occurs, the activity foregrounds with the victim's session already loaded and renders the widget configuration UI, which is backed by live data pickers (SLOs, dashboards, incident severities and types, on-call pages and shifts) fetched through the victim's authenticated HTTP client. Exfiltration is screen-visible only — programmatic return of data to the caller is not possible from these activities. Disclosure is therefore a visual side-channel: accessibility services, screen recording, or screenshot capture. Preconditions: a malicious co-installed application, at least one of the six widgets configured on the victim's home screen, and an active Datadog session cached locally.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.Source identifier: support@hackerone.com
Record modifiedCISA ADP
CVSS V3.1: AV:L/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:H
CISA assessment (SSVC): exploitation: none known, automatable: no
Show 2 original changes
Individual changes of this event as published by NVD Type Action Before After CVSS added —AV:L/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:HSSVC assessment added —{"id":"CVE-2026-44965","role":"CISA Coordinator","options":[{"exploitation":"none"},{"automatable":"no"},{"technicalImpact":"partial"}],"version":"2.0.3","timestamp":"2026-08-07T18:38:34.010393Z"}Source identifier: 134c704f-9b21-4f2e-91b3-4a467353bcc0
ReceivedHackerOne
Weakness type: CWE-926
Description added or changed
Show 6 original changes
Individual changes of this event as published by NVD Type Action Before After Affected versions (publisher) added —Android AppDescription added —Six Android App Widget configuration activities in the Datadog Android application are declared android:exported="true" with no permission guard: IncidentWidgetActivity, MonitorSavedViewWidgetActivity, OnCallShiftsWidgetActivity, OnCallPagesWidgetActivity, SloWidgetActivity, and DashboardWidgetActivity. All six extend a shared base WidgetActivity that reads AppWidgetManager.EXTRA_APPWIDGET_ID from Intent extras and, when no resolved deep-link destination is supplied, uses that caller-controlled widget ID to look up the stored widget definition, fetch the associated user session, and perform an automatic login with source UserSessionSourceLogin.Automatic. Android App Widget IDs are small sequential integers assigned by AppWidgetManager. A zero-permission co-installed application can brute-force them by launching any of the six configuration activities with EXTRA_APPWIDGET_ID set to 1..N until one matches a configured widget on the victim device. When a match occurs, the activity foregrounds with the victim's session already loaded and renders the widget configuration UI, which is backed by live data pickers (SLOs, dashboards, incident severities and types, on-call pages and shifts) fetched through the victim's authenticated HTTP client. Exfiltration is screen-visible only — programmatic return of data to the caller is not possible from these activities. Disclosure is therefore a visual side-channel: accessibility services, screen recording, or screenshot capture. Preconditions: a malicious co-installed application, at least one of the six widgets configured on the victim's home screen, and an active Datadog session cached locally.Weakness type (CWE) added —CWE-926Reference added —https://cwe.mitre.org/data/definitions/926.htmlReference added —https://developer.android.com/develop/ui/views/appwidgets/configurationReference added —https://trust.datadoghq.com/?tcuUid=2e8b8fa5-39ca-43f4-9f6a-aeafafb440efSource identifier: support@hackerone.com
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