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CVE-2026-69207 is a Regular Expression Denial of Service (ReDoS) vulnerability in the built-in CORS middleware (hono/cors) of the Hono web application framework. The flaw affects all versions of the hono npm package prior to 4.12.34 and was disclosed on August 3, 2026, by researcher "sonicnew" via a GitHub Security Advisory. It carries a CVSS v3.1 base score of 5.3 (Medium) (GitHub Advisory, Hono Release).
The root cause is classified as CWE-1333 (Inefficient Regular Expression Complexity). When cors() is used without a configured allowHeaders option (the default), the middleware reflects and parses the attacker-controlled Access-Control-Request-Headers HTTP header during CORS preflight (OPTIONS) requests using a whitespace-tolerant regular expression (/\s*,\s*/). This regex exhibits quadratic backtracking — O(n²) complexity — when the header value contains a long sequence of whitespace characters without a comma delimiter, causing CPU consumption to grow disproportionately with input length. The fix, applied in commit 93fc250, replaces the vulnerable regex split with a linear split(',').map(h => h.trim()) approach, eliminating the backtracking entirely (GitHub Advisory, Fix Commit).
This vulnerability is a denial-of-service issue exclusively — it does not expose, modify, or exfiltrate data, so confidentiality and integrity are unaffected. A single crafted preflight request can consume seconds of CPU time; on single-threaded JavaScript runtimes (e.g., Node.js, Deno, Bun event loops), this blocks all concurrent request processing, potentially rendering the entire service unresponsive. Repeated requests amplify the effect, making sustained denial of service feasible without authentication or special privileges (GitHub Advisory).
No public exploit code or in-the-wild exploitation has been reported as of the disclosure date. The NVD SSVC assessment classifies exploitation as "none" and the attack as not automatable. The EPSS score is approximately 0.65% (49th percentile), indicating a low near-term exploitation probability. The vulnerability is not listed in the CISA Known Exploited Vulnerabilities (KEV) catalog. However, the attack requires no authentication, no special origin, and no user interaction, making it trivially reachable on any internet-facing Hono application using the default CORS configuration (GitHub Advisory, Feedly).
hono < 4.12.34) that expose CORS-enabled endpoints, using tools like Shodan, Censys, or by inspecting HTTP response headers for CORS-related fields.cors() without a non-empty allowHeaders option — the vulnerable default — by sending a standard OPTIONS preflight and observing that the Access-Control-Allow-Headers response reflects the request's Access-Control-Request-Headers value.Access-Control-Request-Headers header containing a header name followed by a very long run of whitespace characters (e.g., 'x' + ' '.repeat(200000) + 'x'), staying within the server's maximum HTTP header size limit.Access-Control-Request-Headers header values (kilobytes of whitespace).Upgrade the hono npm package to version 4.12.34 or later, which replaces the vulnerable regex-based header parsing with a safe split(',').map(h => h.trim()) approach (Hono Release, Fix Commit). As an immediate workaround without upgrading, configure the cors() middleware with a non-empty allowHeaders array (e.g., cors({ allowHeaders: ['Content-Type', 'Authorization'] })), which bypasses the vulnerable parsing path entirely. Additionally, deploying a reverse proxy or WAF rule to limit the maximum size of the Access-Control-Request-Headers header can reduce exposure (GitHub Advisory).
The advisory was published by Hono maintainer yusukebe on August 3, 2026, alongside fixes for three other security issues in the same v4.12.34 release, including a cross-user data disclosure in hono/jsx and a DoS in hono/language. The release notes explicitly encouraged all users of hono/cors, hono/jsx, hono/language, and hono/proxy to upgrade immediately (Hono Release). No significant independent researcher commentary or broad media coverage has been identified beyond standard vulnerability database aggregation.
Source: This report was generated using AI
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