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that have unbound cardinality. It leads to the server's potential memory exhaustion when many malicious requests are sent to it.
Details
HTTP header User-Agent or HTTP method for requests can be easily set by an attacker to be random and long. The library internally uses httpconv.ServerRequest that records every value for HTTP method and User-Agent.
PoC
Send many requests with long randomly generated HTTP methods or/and User agents (e.g. a million) and observe how memory consumption increases during it.
Impact
In order to be affected, the program has to configure a metrics pipeline, use otelhttp.NewHandler wrapper, and does not filter any unknown HTTP methods or User agents on the level of CDN, LB, previous middleware, etc.
As a workaround to stop being affected otelhttp.WithFilter() can be used, but it requires manual careful configuration to not log certain requests entirely.
For convenience and safe usage of this library, it should by default mark with the label unknown non-standard HTTP methods and User agents to show that such requests were made but do not increase cardinality. In case someone wants to stay with the current behavior, library API should allow to enable it.
In PR open-telemetry/opentelemetry-go-contrib#4277, released with package version 0.44.0, the values collected for attribute http.request.method were changed to be restricted to a set of well-known values and other high cardinality attributes were removed.
// UnaryServerInterceptor returns a grpc.UnaryServerInterceptor suitable
// for use in a grpc.NewServer call.
func UnaryServerInterceptor(opts ...Option) grpc.UnaryServerInterceptor {
out of the box adds labels
net.peer.sock.addr
net.peer.sock.port
that have unbound cardinality. It leads to the server's potential memory exhaustion when many malicious requests are sent.
Details
An attacker can easily flood the peer address and port for requests.
PoC
Apply the attached patch to the example and run the client multiple times. Observe how each request will create a unique histogram and how the memory consumption increases during it.
Impact
In order to be affected, the program has to configure a metrics pipeline, use UnaryServerInterceptor, and does not filter any client IP address and ports via middleware or proxies, etc.
Others
It is similar to already reported vulnerabilities.
OWASP Top Ten 2017 Category A9 - Using Components with Known Vulnerabilities
Affected range
<1.2.0-rc.1
Fixed version
1.2.0-rc.1
CVSS Score
7.2
CVSS Vector
CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:H/I:H/A:H
Description
Withdrawn Advisory
This advisory has been withdrawn because it was incorrectly attributed to runc. Please see the issue here for more information.
Original Description
A flaw was found in cri-o, where an arbitrary systemd property can be injected via a Pod annotation. Any user who can create a pod with an arbitrary annotation may perform an arbitrary action on the host system. This issue has its root in how runc handles Config Annotations lists.
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This PR contains the following updates:
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Release Notes
kubernetes/kubernetes (kubernetes/kubernetes)
v1.30.3: Kubernetes v1.30.3Compare Source
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