Joyland AI CVE-2026-102671

Exploitation requires that the attacker occupy a man-in-the-middle position on the victim's network path (e.g., malicious Wi-Fi, ARP spoofing, or upstream interception) so that a forged/invalid TLS certificate can be presented to the Joyland AI app's invisible advertisement WebView, which accepts such certificates by default - so no non-default setting is needed on the victim side and no authentication or user interaction is required. The key limiting factors are: the attacker must already be able to intercept the device's traffic (not remotely exploitable from the open internet without that position), and the impact is confined to the advertisement WebView channel rather than the full application, bounding the realistic blast radius.

The input CVSS 4.0 vector (AV:N/AC:L/AT:N/PR:N/UI:N) with a base score of 6.9 overstates practical ease relative to the described flaw: CWE-295 improper certificate validation is only exploitable by an attacker already positioned to intercept TLS traffic (a man-in-the-middle), which realistically warrants an attack-requirement/complexity penalty rather than AC:L/AT:N. The vector scores impact as integrity-only (VI:L, with VC:N and VA:N), yet the input Tags label this 'Information Disclosure' - a direct conflict: the CVSS asserts no confidentiality impact while the tag implies data exposure, so the true impact dimension should be verified with the CISA CSAF advisory. Exploitation status is 'no public exploit identified at time of analysis' - this CVE is NOT in CISA KEV and no POC is referenced; no EPSS score was provided. Net assessment: this is a real but moderate, situational defect (network interception against a specific invisible ad WebView), not a mass-exploitable critical issue; the elevated base score is driven by generous AC/AT metrics that do not reflect the MITM precondition.

An attacker who controls a network path the victim's device traverses (for example a rogue or compromised Wi-Fi access point) presents a forged or invalid TLS certificate to the Joyland AI app's hidden advertisement WebView, which accepts it by default. The attacker then serves attacker-controlled content into that WebView, enabling injection or tampering of ad traffic and potential exposure of data carried over that channel. No public exploit code is identified at time of analysis, and exploitation requires an active man-in-the-middle position.