Joyland AI CVE-2026-102668

Exploitation requires the attacker to hold a man-in-the-middle / on-path position between the Joyland AI app and its backend server (for example, a shared or rogue Wi-Fi network, a compromised gateway, or ARP/DNS spoofing) and to present a forged or substitute TLS certificate. No special configuration is needed on the victim's side - accepting any certificate is the app's default behavior, so every user on an affected version is vulnerable. The principal limiting factor is the network-position requirement: the attacker cannot exploit this purely remotely over the internet, and the flaw cannot be triggered without intercepting the victim's traffic path.

CVE-2026-102668 is an improper TLS certificate validation flaw (CWE-295) in the Joyland AI application, which accepts any certificate from any server without validation, enabling man-in-the-middle (MITM) interception. The input CVSS 4.0 vector (AV:N/AC:L/AT:N/PR:N/UI:N) rates only VI:L (low integrity impact) with VC:N and VA:N, producing a 6.9 Medium score. This is a genuine but conditional risk rather than a drop-everything priority: exploitation requires the attacker to already occupy a network position between the app and its server (rogue Wi-Fi, compromised router, ARP spoofing), so it is not remotely triggerable against arbitrary internet-exposed targets despite the AV:N label. CONFLICT TO NOTE: the official 4.0 vector sets VC:N (no confidentiality impact), yet the 'Information Disclosure' tag and the nature of a cert-validation/MITM flaw strongly imply interception of chat content and authentication tokens - i.e. a real confidentiality exposure - so the published vector appears to understate confidentiality impact; verify with the CISA CSAF advisory. No EPSS score, no KEV listing, and no POC are present in the input, so there is no public-exploitation signal; MITM tooling for cert-validation bypass is trivially available in principle, but no exploit specific to this CVE is identified.

An attacker on the same network as a Joyland AI user (e.g. public Wi-Fi) positions themselves on-path and presents a forged TLS certificate; because the app validates no certificates, the connection succeeds and the attacker transparently intercepts and can modify traffic between the app and its backend. This exposes session tokens and chat data and permits injection of attacker-controlled responses. No public exploit identified at time of analysis, though generic MITM proxies readily demonstrate the weakness.