#nginx

### Impact The Express server uses `express.json()` without a size limit, which can allow attackers to send extremely large request bodies. This may lead to excessive memory usage, degraded performance, or process crashes, resulting in a Denial of Service (DoS). Any application using the JSON parser without limits and exposed to untrusted clients is affected. ### Patches This issue is not a flaw in Express itself but in configuration. Users should set a request-size limit when enabling the JSON body parser. For example: `app.use(express.json({ limit: "100kb" }));` ### Workarounds Users can mitigate the issue without upgrading by: - Adding a `limit` option to the JSON parser - Implementing rate limiting at the application or reverse-proxy level - Rejecting unusually large requests before parsing - Using a reverse proxy (such as NGINX) to enforce maximum request body sizes

## Impact There is a potential vulnerability in Traefik NGINX provider managing the `nginx.ingress.kubernetes.io/proxy-ssl-verify` annotation. The provider inverts the semantics of the `nginx.ingress.kubernetes.io/proxy-ssl-verify` annotation. Setting the annotation to `"on"` (intending to enable backend TLS certificate verification) actually disables verification, allowing man-in-the-middle attacks against HTTPS backends when operators believe they are protected. ## Patches - https://github.com/traefik/traefik/releases/tag/v3.6.3 ## For more information If you have any questions or comments about this advisory, please [open an issue](https://github.com/traefik/traefik/issues). <details> <summary>Original Description</summary> ### Summary A logic error in Traefik's experimental ingress-nginx provider inverts the semantics of the `nginx.ingress.kubernetes.io/proxy-ssl-verify` annotation. Setting the annotation to `"on"` (intending to enable backend TLS certificate verification)...

### Summary The `ExceededSizeError` exception messages are embedded with non-decoded JWT token parts and may cause Python logging to record an arbitrarily large, forged JWT payload. ### Details In situations where a misconfigured — or entirely absent — production-grade web server sits in front of a Python web application, an attacker may be able to send arbitrarily large bearer tokens in the HTTP request headers. When this occurs, Python logging or diagnostic tools (e.g., Sentry) may end up processing extremely large log messages containing the full JWT header during the `joserfc.jwt.decode()` operation. The same behavior also appears when validating claims and signature payload sizes, as the library raises `joserfc.errors.ExceededSizeError()` with the full payload embedded in the exception message. Since the payload is already fully loaded into memory at this stage, the library cannot prevent or reject it per se. It is therefore the responsibility of the underlying web server (`uvic...

This week showed just how fast things can go wrong when no one’s watching. Some attacks were silent and sneaky. Others used tools we trust every day — like AI, VPNs, or app stores — to cause damage without setting off alarms. It’s not just about hacking anymore. Criminals are building systems to make money, spy, or spread malware like it’s a business. And in some cases, they’re using the same

### Impact All deployments of OAuth2 Proxy in front of applications that normalize underscores to dashes in HTTP headers (e.g., WSGI-based frameworks such as Django, Flask, FastAPI, and PHP applications). Authenticated users can inject underscore variants of X-Forwarded-* headers that bypass the proxy’s filtering logic, potentially escalating privileges in the upstream app. OAuth2 Proxy authentication/authorization itself is not compromised. ### Patches This change mitigates a request header smuggling vulnerability where an attacker could bypass header stripping by using different capitalization or replacing dashes with underscores. The problem has been patched with v7.13.0. By default all specified headers will now be normalized, meaning that both capitalization and the use of underscores (_) versus dashes (-) will be ignored when matching headers to be stripped. For example, both `X-Forwarded-For` and `X_Forwarded-for` will now be treated as equivalent and stripped away. However...

It might surprise some that a security company would choose WordPress as the backbone of its digital content operations. Here's what we considered when choosing it.

### Summary When running Astro in on-demand rendering mode using a adapter such as the node adapter it is possible to maliciously send an `X-Forwarded-Host` header that is reflected when using the recommended `Astro.url` property as there is no validation that the value is safe. ### Details Astro reflects the value in `X-Forwarded-Host` in output when using `Astro.url` without any validation. It is common for web servers such as nginx to route requests via the `Host` header, and forward on other request headers. As such as malicious request can be sent with both a `Host` header and an `X-Forwarded-Host` header where the values do not match and the `X-Forwarded-Host` header is malicious. Astro will then return the malicious value. This could result in any usages of the `Astro.url` value in code being manipulated by a request. For example if a user follows guidance and uses `Astro.url` for a canonical link the canonical link can be manipulated to another site. It is not impossible to...

## Summary `Rack::Request#POST` reads the entire request body into memory for `Content-Type: application/x-www-form-urlencoded`, calling `rack.input.read(nil)` without enforcing a length or cap. Large request bodies can therefore be buffered completely into process memory before parsing, leading to denial of service (DoS) through memory exhaustion. ## Details When handling non-multipart form submissions, Rack’s request parser performs: ```ruby form_vars = get_header(RACK_INPUT).read ``` Since `read` is called with no argument, the entire request body is loaded into a Ruby `String`. This occurs before query parameter parsing or enforcement of any `params_limit`. As a result, Rack applications without an upstream body-size limit can experience unbounded memory allocation proportional to request size. ## Impact Attackers can send large `application/x-www-form-urlencoded` bodies to consume process memory, causing slowdowns or termination by the operating system (OOM). The effect sca...

## Summary A possible information disclosure vulnerability existed in `Rack::Sendfile` when running behind a proxy that supports `x-sendfile` headers (such as Nginx). Specially crafted headers could cause `Rack::Sendfile` to miscommunicate with the proxy and trigger unintended internal requests, potentially bypassing proxy-level access restrictions. ## Details When `Rack::Sendfile` received untrusted `x-sendfile-type` or `x-accel-mapping` headers from a client, it would interpret them as proxy configuration directives. This could cause the middleware to send a "redirect" response to the proxy, prompting it to reissue a new internal request that was **not subject to the proxy's access controls**. An attacker could exploit this by: 1. Setting a crafted `x-sendfile-type: x-accel-redirect` header. 2. Setting a crafted `x-accel-mapping` header. 3. Requesting a path that qualifies for proxy-based acceleration. ## Impact Attackers could bypass proxy-enforced restrictions and access inte...

## Summary `Rack::Multipart::Parser` can accumulate unbounded data when a multipart part’s header block never terminates with the required blank line (`CRLFCRLF`). The parser keeps appending incoming bytes to memory without a size cap, allowing a remote attacker to exhaust memory and cause a denial of service (DoS). ## Details While reading multipart headers, the parser waits for `CRLFCRLF` using: ```ruby @sbuf.scan_until(/(.*?\r\n)\r\n/m) ``` If the terminator never appears, it continues appending data (`@sbuf.concat(content)`) indefinitely. There is no limit on accumulated header bytes, so a single malformed part can consume memory proportional to the request body size. ## Impact Attackers can send incomplete multipart headers to trigger high memory use, leading to process termination (OOM) or severe slowdown. The effect scales with request size limits and concurrency. All applications handling multipart uploads may be affected. ## Mitigation * Upgrade to a patched Rack vers...