Attack ChainAIDerived
Hypothetical attack flow derived from CVE metadata – not a confirmed exploit chain
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AccessInstall malicious app on Samsung device
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ExploitInduce user to trigger autofill action
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ExecutionInvoke improperly exported SamsungPassAutofill component
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ImpactExtract stored credential data from autofill store
Vulnerability Assessment
| Weakness |
CWE
ASVS 5.0
V15 - Secure Coding and Architecture Improper export of Android components
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| Exploitation Conditions | Exploitation requires a malicious application to be installed on the same Samsung Android device running a vulnerable version of SamsungPassAutofill (prior to 5.2.10.x). The attacker app operates at low privilege (standard Android app sandbox), consistent with PR:L in the CVSS vector. Critically, active user interaction is required - UI:A in the CVSS 4.0 vector confirms the vulnerability cannot be triggered silently or passively; the victim must perform some foreground action, likely involving the autofill subsystem. Remote exploitation is impossible per AV:L. The vulnerability does not affect non-Samsung Android devices, as SamsungPassAutofill is a Samsung-specific pre-installed component. Non-default configurations are not a prerequisite - the flaw exists in the default installation state of the affected versions. |
| Impact | The CVSS 4.0 vector AV:L/AC:L/AT:N/PR:L/UI:A/VC:H/VI:N/VA:N/SC:N/SI:N/SA:N captures the core risk profile: local-only attack, low attacker privilege (a co-resident app), mandatory user interaction, and high confidentiality impact confined to the vulnerable system. The score of 5.1 accurately reflects the significant limiting factors - an attacker cannot exploit this remotely, must have already placed a malicious app on the device, and must induce the victim to perform some action. There is no KEV listing and no EPSS data is available, suggesting no observed mass exploitation. The real-world priority is moderate: devices used by high-value targets (executives, journalists) with untrusted apps installed represent a credible threat, but opportunistic mass exploitation is unlikely given the prerequisites. The high VC metric is the most consequential signal - autofill credential stores can contain passwords across many services, making even a single successful extraction disproportionately impactful. |
| Exploit ScenarioDerived | A threat actor distributes a malicious Android application - potentially disguised as a utility or game - that, once installed on a victim's Samsung Galaxy device, invokes the improperly exported SamsungPassAutofill component. When the victim performs an autofill-related action (such as tapping a login form), the malicious app intercepts or queries the exposed component to extract stored credentials. No public exploit code has been identified at time of analysis, so this scenario currently requires custom tooling. |
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Alert meAnalysisAIv1 – Aug 10, 2026
SamsungPassAutofill prior to version 5.2.10.x on Samsung Android devices improperly exports application components, enabling a locally-installed malicious app to access sensitive autofill credential data with user interaction. The CVSS 4.0 vector (AV:L/PR:L/UI:A/VC:H) confirms the attack is constrained to on-device, low-privilege access requiring user-triggered activity, yielding a moderate score of 5.1 despite high confidentiality impact. No public exploit identified at time of analysis, and the vulnerability is not listed in CISA KEV.
RemediationAI
Update SamsungPassAutofill to version 5.2.10.x or later, delivered via Samsung's monthly security update or through the Galaxy Store. Consult the vendor advisory at https://security.samsungmobile.com/serviceWeb.smsb?year=2026&month=08 for update instructions specific to your device model and region. If the system update cannot be applied immediately, the most effective compensating control is restricting the installation of untrusted third-party applications - since exploitation requires a malicious co-resident app, reducing the app install surface directly limits exposure. Enabling Google Play Protect scanning adds a secondary detection layer. These mitigations do not fix the underlying component export flaw and should be treated as temporary bridges to patching.
Affected VersionsENISA
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Technical ContextAI · show details
Android application components - Activities, Services, Content Providers, and Broadcast Receivers - can be designated as exported, making them callable by other applications on the same device. SamsungPassAutofill, a Samsung proprietary autofill service pre-installed on Galaxy devices, improperly marks one or more of these components as exported, granting unprivileged third-party applications the ability to interact with them directly. This is a well-understood Android security anti-pattern; while no CWE is formally assigned by the reporter, the flaw maps conceptually to CWE-926 (Improper Export of Android Application Components). The CPE cpe:2.3:a:samsung_mobile:samsungpassautofill:*:*:*:*:*:*:*:* covers all versions of the component below 5.2.10.x. Because SamsungPassAutofill handles stored credentials and form-fill data, exposure of its components can yield high-value credential material.
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Severity by source
CVSS:4.0/AV:L/AC:L/AT:N/PR:L/UI:A/VC:H/VI:N/VA:N/SC:N/SI:N/SA:N
Local vector with low-privilege co-resident app, user interaction required to trigger the exported component, and high confidentiality impact with no integrity or availability effect.
Primary rating from Vendor (SamsungMobile).
CVSS VectorVendor: SamsungMobile
DescriptionCVE.org
Improper export of android application components in SamsungPassAutofill prior to version 5.2.10.x allows local attackers to access sensitive information. User interaction is required for triggering this vulnerability.
Threat Intelligence Overview
How this decision was reached
The engine reads each signal below and applies a fixed list of rules from top to bottom. The first rule that matches sets the recommended action – like a statement, every line is shown.
What every action level means
SSVC AssessmentENISA
Priority Score
Attack Technique
Information disclosure occurs when an application unintentionally exposes sensitive data that aids attackers in reconnaissance or directly compromises security.
EUVD-2026-55106
GHSA-425r-57mx-xgj9
NVD
CVE.org
EPSS
Exploit-DB