CVE-2026-27169
HighSummary
OpenSift to narzędzie AI do analizy dużych zbiorów danych, które w wersjach 1.1.2-alpha i poniżej renderuje niezaufane treści użytkowników/modeli w interfejsie czatu przy użyciu niebezpiecznych wzorców interpolacji HTML, co prowadzi do podatności XSS. Przechowywana treść może wykonywać JavaScript podczas późniejszego przeglądania w uwierzytelnionych sesjach.
Risk Assessment
Atakujący, który może wpływać na przechowywaną treść, może wywołać wykonanie skryptu w przeglądarce ofiary, co potencjalnie pozwala na działania w imieniu tego użytkownika w lokalnej sesji aplikacji.
Recommendation
Zaleca się aktualizację do wersji 1.1.3-alpha, aby usunąć tę podatność i zabezpieczyć aplikację przed potencjalnymi atakami.
Related vulnerabilities
- CVE-2026-91039Critical
Vulnerability in ash_authentication related to dynamic_oidc strategy that fails to maintain proper identity namespace separation across connections. An attacker controlling one connection can be signed in as a local user created through a different connection because user identities are not correctly separated.
- CVE-2026-86863Critical
In pgAdmin 4, the 'webserver' authentication source was vulnerable because WebserverAuthentication.get_user() fell back to reading the username directly from inbound HTTP request headers when the WSGI/CGI environment lookup returned nothing. As a result, any client able to reach pgAdmin could supply that header itself and authenticate as any username, including an existing Administrator, without a password. The issue affects versions from 6.2 before 9.18 and only applies when 'webserver' is enabled in AUTHENTICATION_SOURCES.
- CVE-2026-88952Critical
In ash_authentication there is an improper authentication vulnerability that allows an attacker to sign in as another user by linking their OAuth2 identity to an account that is not theirs. The attacker can attach a verified email to an account matched on other attributes, leading to session hijacking.
- CVE-2026-79752Critical
In CakePHP, the FunctionsBuilder methods (cast, extract, datePart, dateAdd) allow SQL injection by improperly handling user-controlled input. Untrusted data is incorporated into SQL syntax without proper escaping, potentially enabling attackers to execute arbitrary queries.
- CVE-2026-63472Critical
In Vendure, the createCustomerAndUser function in external authentication matches an existing customer by email address and attaches a new external authentication method without requiring verification. An attacker can use an unverified email to hijack the victim's account.
- CVE-2026-92960Critical
In vm2 before 3.11.6, the builtin: ['*'] configuration does not restrict access to os and dns builtins, allowing sandbox code to read host process identity and network topology. Attackers can use dns.setServers() to hijack the host process's DNS resolver globally.
- CVE-2026-92957Critical
In vm2 up to 3.11.6, NodeVM's require policy does not properly normalize node:-prefixed builtin specifiers, allowing bypass of denial lists. Sandbox code can access child_process module, enabling command execution on the host.
- CVE-2026-92956Critical
In vm2 versions 3.10.1 through 3.11.6, there is a sandbox escape via WebAssembly.compileStreaming and instantiateStreaming, allowing attackers to access the host process object on Node.js 26, leading to full host control.
- CVE-2026-92955Critical
In vm2 before 3.11.8, there is a sandbox escape vulnerability via console._stdout and console._stderr. Attackers can overwrite EventEmitter.prototype.emit and execute code on the host process, bypassing code generation restrictions.
- CVE-2026-92953Critical
In vm2 versions from 3.11.0 before 3.11.8, host TypedArray and ArrayBuffer prototypes are not protected from sandbox mutation. Attackers can modify prototypes, affecting host-created typed arrays and potentially leading to unauthorized actions.
Original NVD description (English source)
OpenSift is an AI study tool that sifts through large datasets using semantic search and generative AI. Versions 1.1.2-alpha and below render untrusted user/model content in chat tool UI surfaces using unsafe HTML interpolation patterns, leading to XSS. Stored content can execute JavaScript when later viewed in authenticated sessions. An attacker who can influence stored study/quiz/flashcard content could trigger script execution in a victim’s browser, potentially performing actions as that user in the local app session. This issue has been fixed in version 1.1.3-alpha.

