NVD has published CVE-2026-75940, a CVSS 9.1 (Critical) vulnerability in the Lenovo Health Android Application — a product distributed exclusively in the Chinese market. The flaw is remotely exploitable over the network and can allow an attacker to access sensitive health-related information collected and stored by the application. Reference: NVD — CVE-2026-75940.
A 9.1 network-exploitable score with no authentication barrier implied by the vector class is about as bad as mobile-side vulnerabilities get. Health data sits at the top of the sensitive-data hierarchy: it's regulated under multiple frameworks, it's permanently damaging when exposed (you can't reissue a medical history the way you reissue a password), and it carries direct value for fraud, extortion, and targeted social engineering. If your organization has personnel, expatriate staff, or business units in China using Lenovo devices with the Health application installed, this is in your scope today — not after the next quarterly review.
This post covers what we know about the vulnerability, how to determine whether you're exposed, what you can realistically detect, and how to remediate.
Technical Analysis
Affected Product and Platform
- Product: Lenovo Health Android Application
- Distribution: Chinese market exclusively (typically pre-installed or available via Chinese app stores on Lenovo/Motorola devices sold in-region)
- Platform: Android
- CVE: CVE-2026-75940
- CVSS v3.1 Score: 9.1 (Critical)
- Attack Vector: Network — remotely exploitable without physical access to the device
The limited distribution region doesn't shrink your risk as much as you might think. Corporate fleets in APAC, travelers carrying region-specific handsets, and BYOD users who purchased devices in China all introduce this application into environments that otherwise consider themselves unaffected. Lenovo's Health app is also frequently pre-installed and cannot be fully uninstalled without administrative tooling — it can only be disabled, which matters for remediation.
How the Vulnerability Works (Defender's Perspective)
Public technical detail on CVE-2026-75940 is currently thin — NVD's record describes a flaw that could allow an attacker to access sensitive health-related information via a network-exploitable pathway. Based on the CVSS vector class (network attack vector, low complexity, high confidentiality impact), the realistic attack models for an Android health application are:
- Exposed network service or IPC endpoint on the device — the app (or one of its background services) listens for or responds to network-reachable requests without adequate authentication or input validation, allowing a remote party on the same network segment (or an attacker who can route traffic to the device, e.g., via a malicious Wi-Fi network or compromised gateway) to query or extract stored health data.
- Broken access control in the companion backend API — the application's cloud API fails to enforce object-level authorization (classic BOLA/IDOR pattern), letting an authenticated or unauthenticated remote requester retrieve health records belonging to other users.
- Insecure data in transit — health data transmitted without proper TLS validation, enabling interception by a network-positioned attacker.
For defenders, the exploitation prerequisites matter more than the exact code path: an attacker needs network reachability to either the device or the backend service. That means hostile Wi-Fi (hotel, airport, conference networks), compromised upstream infrastructure, or direct API abuse from the internet. No victim interaction appears to be required.
Exploitation Status
At the time of writing, there is no confirmed public proof-of-concept, no documented in-the-wild exploitation, and no CISA KEV listing for CVE-2026-75940. Treat this as a window, not a reprieve. CVSS 9.1 network-reachable flaws in widely distributed consumer applications attract researcher and criminal attention quickly once the CVE is public, and patch adoption on pre-installed Android applications is historically slow. Operate on the assumption that working exploitation is a matter of time.
Detection & Response
A candid note before the queries: endpoint-level detection of exploitation on Android devices is genuinely hard for most enterprise SOCs. Android EDR telemetry is thinner than Windows/Linux, and this app's exploitation likely leaves few host artifacts. Your highest-fidelity detection surfaces are (a) inventory — knowing the app exists in your fleet, (b) network telemetry — anomalous connections to or from the device and the vendor's backend, and (c) MDM compliance posture. The detections below are built around those realities, not wishful thinking.
Sigma Rules
These rules target proxy/firewall and MDM-ingested telemetry. They assume you forward web proxy or DNS logs into your SIEM — standard for most mature SOCs.
---
title: Network Connections to Lenovo Health Backend Services
description: Detects outbound connections from corporate-managed networks to Lenovo Health application backend domains. In environments where the app is not sanctioned, any such connection indicates a device with the vulnerable application installed and active, enabling asset identification for remediation of CVE-2026-75940.
status: experimental
references:
- https://nvd.nist.gov/vuln/detail/CVE-2026-75940
author: Security Arsenal
date: 2026/04/06
tags:
- attack.discovery
logsource:
category: proxy
detection:
selection:
c-domain|contains:
- 'health.lenovo'
- 'lenovomobile'
condition: selection
falsepositives:
- Sanctioned Lenovo devices in APAC business units — use as inventory signal, tune allowlists by business unit
level: low
---
title: DNS Query for Lenovo Health Service Domains from Unexpected Hosts
description: Identifies DNS resolution of Lenovo Health application service domains, useful for fleet discovery of devices carrying the CVE-2026-75940 vulnerable application where proxy TLS inspection is unavailable.
status: experimental
references:
- https://nvd.nist.gov/vuln/detail/CVE-2026-75940
author: Security Arsenal
date: 2026/04/06
tags:
- attack.discovery
logsource:
category: dns
detection:
selection:
query|contains:
- 'health.lenovo'
- 'lenovomobile'
condition: selection
falsepositives:
- Legitimate Lenovo device users — this is an inventory and exposure-detection rule, not an intrusion rule
level: low
KQL — Microsoft Sentinel / Defender
The most operationally valuable hunt right now is asset inventory: find every managed device with the vulnerable app installed. If you use Microsoft Intune with Defender for Endpoint, application inventory flows into DeviceInfo-adjacent tables. This query hunts for the Lenovo Health package across managed endpoints and correlates with recent network activity.
// Hunt 1: Inventory devices with the Lenovo Health application installed
// Requires MDM/Defender application inventory ingestion
let VulnerableAppIndicators = dynamic(["lenovo health", "com.lenovo.health", "com.lenovo.fitness"]);
DeviceInfo
| where Timestamp > ago(30d)
| summarize arg_max(Timestamp, *) by DeviceId
| project DeviceName, OSPlatform, OSVersion, LoggedOnUsers
| join kind=leftouter (
DeviceNetworkEvents
| where Timestamp > ago(7d)
| where RemoteUrl has_any ("health.lenovo", "lenovomobile")
| summarize RecentHealthBackendConnections=count(), LastConnection=max(Timestamp) by DeviceId
) on DeviceId
| project DeviceName, OSPlatform, OSVersion, LoggedOnUsers, RecentHealthBackendConnections, LastConnection
| order by RecentHealthBackendConnections desc;
// Hunt 2: Anomalous high-volume API requests to health data endpoints (proxy/CEF ingestion)
// Elevated request volume to health-record API paths can indicate BOLA-style enumeration
CommonSecurityLog
| where TimeGenerated > ago(24h)
| where RequestURL has_any ("health.lenovo", "lenovomobile") or DestinationHostName has_any ("health.lenovo", "lenovomobile")
| summarize RequestCount=count(), DistinctURIs=dcount(RequestURL), URISample=make_set(RequestURL, 20) by SourceIP, bin(TimeGenerated, 1h)
| where RequestCount > 500 or DistinctURIs > 100
| order by RequestCount desc;
Tune the thresholds in Hunt 2 against your baseline — the point is to catch enumeration-style access patterns (many distinct record URIs from one source), not routine app sync traffic.
Velociraptor VQL
Velociraptor does not deploy to Android, but it is valuable for the Windows and Linux workstations in scope — specifically to hunt for evidence of downloaded or staged health data exports following suspected exploitation, and for auditing proxy-side artifacts from IR infrastructure. Use this artifact on analyst/IR jump hosts and any system suspected of being used to stage exfiltrated data.
-- Hunt for staged health-data exports and Lenovo Health artifacts on managed endpoints
-- Looks for recently created files referencing Lenovo Health or bulk health-record data formats
SELECT FullPath, Size, Mtime, Ctime
FROM glob(globs=[
'C:/Users/*/Downloads/**/*lenovo*health*',
'C:/Users/*/Downloads/**/*healthrecord*',
'C:/Users/*/Desktop/**/*health*export*',
'/home/*/Downloads/**/*lenovo*health*',
'/tmp/**/*health*export*'
])
WHERE Mtime > (now() - 604800)
ORDER BY Mtime DESC
If you suspect backend-API abuse (BOLA pattern), the more productive forensic surface is your API gateway / WAF logs rather than endpoint artifacts — pull those into your IR timeline first.
Remediation / Exposure Verification Script
For organizations with Android Enterprise (formerly Android for Work) fleets, the immediate operational task is enumerating devices with the package present. This script uses the Android Management API via gcloud-authenticated REST calls to list devices and their installed packages; adapt to your EMM's reporting API if you use Intune, Workspace ONE, or another MDM.
# Enumerate Android Enterprise devices and check for the Lenovo Health package
# Requires: gcloud CLI authenticated with androidmanagement permissions
PROJECT_ID="your-android-enterprise-project"
PACKAGE_PATTERN="lenovo"
# List all managed devices in the enterprise
DEVICES=$(gcloud alpha android-management enterprises devices list \
--project="$PROJECT_ID" --format="value(name)" 2>/dev/null)
echo "=== Devices with Lenovo Health package installed ==="
for DEVICE in $DEVICES; do
MATCH=$(gcloud alpha android-management enterprises devices get "$DEVICE" \
--project="$PROJECT_ID" \
--format="json(applicationReports)" 2>/dev/null | grep -i "$PACKAGE_PATTERN")
if [ -n "$MATCH" ]; then
echo "[EXPOSED] $DEVICE"
echo "$MATCH"
echo "---"
fi
done
echo ""
echo "=== Remediation options (apply via MDM policy) ==="
echo "1. Push app update via managed Play Store if vendor patch is available"
echo "2. Disable the package: adb shell pm disable-user --user 0 <package.name>"
echo "3. Block network access to app backend at proxy/firewall until patched"
For ad-hoc verification of a single device (with USB debugging authorized):
# Check if the Lenovo Health package is present and enabled on a connected device
adb shell pm list packages | grep -i lenovo
# Check whether the package is enabled or merely disabled
adb shell pm list packages -d | grep -i lenovo
# Disable the package pending vendor patch (does not require root on many builds)
# Replace <package.name> with the actual package string from the listing above
adb shell pm disable-user --user 0 <package.name>
# Verify the app has no listening network sockets (exposed service check)
adb shell netstat -tulpn 2>/dev/null | grep -i lenovo
Remediation
Work through these in order of operational speed, not theoretical completeness:
-
Inventory first. You cannot remediate what you haven't found. Run the MDM/EMM enumeration above across your entire managed Android fleet, and issue a one-time self-attestation request to BYOD users who purchased devices in the Chinese market. Assume pre-installed presence on Lenovo/Motorola handsets sold in-region.
-
Apply the vendor patch immediately when available. Monitor the NVD record for CVE-2026-75940 and Lenovo's product security advisories for the fixed application version. Enforce update via managed Google Play or your in-region app distribution channel. Do not rely on users to update a pre-installed health app manually — push it.
-
If no patch is available, disable the application. Use
pm disable-uservia MDM where the platform permits, or remove it from the work profile entirely. A disabled package cannot run its network-exposed components. Document this as a compensating control with an expiration date tied to patch release. -
Segment and restrict network paths. Block corporate network egress to the application's backend domains for device populations that have no business need, and ensure BYOD/travel devices sit on a guest or segmented VLAN without lateral reachability to internal resources. Given the network attack vector, reducing reachability directly reduces exploitability.
-
Assess data exposure retroactively. For any device confirmed to have run the vulnerable version, determine what health data it held and whether backend API logs show anomalous access (the KQL enumeration hunt above). Health data exposure may trigger breach-notification obligations under applicable Chinese data protection law (PIPL) and, for any affected personnel covered by other regimes, potentially GDPR or HIPAA-adjacent employer obligations. Loop in legal and privacy counsel early — the notification clock is jurisdictional and unforgiving.
-
Update your threat model and mobile policy. This CVE is a clean example of pre-installed, region-locked applications carrying enterprise risk. Add "region-specific pre-installed apps" to your mobile device onboarding checklist, and require MDM enrollment — with application inventory enabled — before any such device touches corporate data.
There is currently no CISA KEV-mandated deadline for this CVE, but a CVSS 9.1 network-exploitable flaw in an application holding health data warrants treatment as a priority-one patch item: target remediation within 72 hours of vendor fix availability for managed fleets.
Final Assessment
CVE-2026-75940 is the kind of vulnerability that slips past Western-centric security programs: a region-exclusive, pre-installed mobile application holding some of the most sensitive data a device can carry. The defensive work here is unglamorous — inventory, disable, patch, verify — but it is exactly the work that determines whether a public CVE becomes an incident. Find the app in your fleet this week.
Related Resources
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