Raw vector
CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:HSummary
CVE-2026-26208 is a high-severity Deserialization of Untrusted Data (CWE-502) vulnerability. Its CVSS base score is 7.8 (High).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked at the 13th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.
The strongest mitigations our analysis identified map to SA-11 (Developer Testing and Evaluation) and SI-10 (Information Input Validation) — see the control section below for these in your framework.
Deeper analysis AI-assisted summary
Synthesised by an AI model from the NVD description and linked references — a reading aid, not an authoritative source.
ADB Explorer, a fluent UI for ADB on Windows, is affected by an insecure deserialization vulnerability (CWE-502) in versions prior to Beta 0.9.26020. The application deserializes its App.txt settings file using Newtonsoft.Json with TypeNameHandling set to Objects, which permits gadget chains such as ObjectDataProvider to be processed during launch and settings save operations. The issue carries a CVSS 3.1 score of 7.8 reflecting local attack vector, low complexity, and no required privileges.
An attacker with the ability to place a crafted JSON file in the expected settings location can achieve remote code execution when the application starts. The attack requires user interaction to open the application but needs no authentication, allowing arbitrary code to run in the context of the ADB Explorer process on Windows systems.
The referenced GitHub security advisory, commit, and release notes state that the flaw is resolved in Beta 0.9.26020. The EPSS score remains flat at 0.0104 with no material increase observed after disclosure.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2026-5933
Vulnerability Data
ADB Explorer is a fluent UI for ADB on Windows. Prior to Beta 0.9.26020, ADB Explorer is vulnerable to Insecure Deserialization leading to Remote Code Execution. The application attempts to deserialize the App.txt settings file using Newtonsoft.Json with TypeNameHandling set…
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to Objects. This allows an attacker to supply a crafted JSON file containing a gadget chain (e.g., ObjectDataProvider) to execute arbitrary code when the application launches and subsequently saves its settings. This vulnerability is fixed in Beta 0.9.26020.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Mitigating Controls (NIST 800-53 r5) AI
Developer testing and evaluation can uncover deserialization flaws before deployment.
Input validation directly stops deserialization of untrusted data by ensuring inputs are valid before processing.
Engineering principles such as safe deserialization and input sanitization structurally prevent the weakness from being introduced.
Integrity verification tools can detect malformed or tampered serialized data after the fact.
Mitigating Controls (NIST CSF 2.0) AI
Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→CSF cross-walk (authority under review) — links open the control.
PR.PS-02 addresses only post-deployment updates/patching and cannot prevent introduction of unsafe deserialization code, yet it can remediate some instances when the flaw exists in outdated libraries or components.
Mitigating Controls (ISO/IEC 27001:2022 Annex A) AI
Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→ISO cross-walk (authority under review) — links open the control.
Security testing includes validation of deserialization routines and the use of untrusted data, reducing the likelihood that unsafe object reconstruction will be deployed.
Requiring vetted libraries, regular updates and SAST before release reduces the likelihood that deserialization logic will accept and act on attacker-controlled serialized objects.
Regular scanning of third-party libraries and timely patching reduce the likelihood that unsafe deserialization vulnerabilities remain active.
Mandatory malware scanning of data received over networks or storage media intercepts malicious serialized payloads before they are deserialized by the target application.