| CVE |
Vendors |
Products |
Updated |
CVSS v3.1 |
| In the Linux kernel, the following vulnerability has been resolved:
IB/mad: Drop unmatched RMPP responses before reassembly
Kernel-handled RMPP receive processing starts reassembly for active
DATA responses before the response is matched to an outstanding send.
The normal match happens later, after ib_process_rmpp_recv_wc() has
either assembled a complete message or consumed the segment.
That ordering lets an unsolicited response that routes to a kernel
RMPP agent by the high TID bits allocate or extend RMPP receive state
before the full TID and source address are checked against a real
request. A reordered burst can therefore reach the receive-side
insertion path even though the response would not match any send.
For kernel-handled RMPP DATA responses, require the existing
ib_find_send_mad() match before entering RMPP reassembly. The matcher
already checks the full TID, management class and source address/GID
against the agent wait, backlog and in-flight send lists. If there is
no match, drop the response without creating RMPP state.
This leaves the RMPP window behavior unchanged and only rejects
responses that have no corresponding request. |
| In the Linux kernel, the following vulnerability has been resolved:
gve: fix Rx queue stall on alloc failure
When the system is under extreme memory pressure, page allocations can
fail during the Rx buffer refill loop. If the number of buffers posted
to hardware falls below a critical low threshold and the refill loop
exits due to allocation failures, the queue can stall:
1. The device drops incoming packets because there are no descriptors.
2. Since no packets are processed, no Rx completions are generated.
3. Because no completions occur, NAPI is never scheduled, preventing
the refill loop from running again even after memory is freed.
This results in a permanent queue stall.
Resolve this by introducing a starvation recovery timer for each Rx queue.
If the number of buffers posted to hardware falls below a critical low
threshold, start a timer to periodically reschedule NAPI. Once NAPI runs
and successfully refills the queue above the threshold, the timer is
not rescheduled.
The threshold is set to 32 because a single maximum-sized Receive Segment
Coalescing (RSC) packet can consume up to 19 descriptors in the Rx path.
Lower thresholds (such as 8 or 16) would be insufficient to process a
complete maximum-sized RSC packet, risking packet drops or unexpected
hardware behavior under memory pressure. Setting the threshold to 32
guarantees a safe margin to handle at least one full RSC packet. |
| Allocation of Resources Without Limits or Throttling (CWE-770) in Kibana can lead to denial of service via Excessive Allocation (CAPEC-130). An authenticated user who is authorized to manage maintenance windows could submit a specially crafted, malformed payload that causes the Kibana process to consume excessive resources. Kibana becomes unresponsive for all users and does not recover without manual intervention. |
| A flaw in Elasticsearch allows an authenticated user holding only read privileges to submit a small search request containing a crafted user-supplied input. Processing that input causes a specific internal component to allocate memory without any upper bound, and the allocation occurs outside the scope of the existing memory accounting controls that were intended to constrain it. The resulting out-of-memory condition is fatal and terminates the affected node process, causing a denial of service. |
| Allocation of Resources Without Limits or Throttling (CWE-770) in Kibana can lead to a denial of service via Excessive Allocation (CAPEC-130). A user-supplied list of document fields accepted by the Kibana Playground for RAG feature was neither bounded in length nor de-duplicated before it was used to assemble the response for each matching document. A single crafted request could therefore make Kibana build a response far larger than the data it was derived from, and the resulting processing and memory pressure exhausts the resources of the Kibana instance. |
| Allocation of Resources Without Limits or Throttling (CWE-770) in Kibana can lead to a denial of service via Excessive Allocation (CAPEC-130). A specially crafted request submitted by an authenticated user with minimal privileges to a validation capability of the Observability log analysis feature causes Kibana to perform an unbounded amount of concurrent work. This can exhaust the memory available to the Kibana process and make Kibana unavailable to all users until it is restarted. The severity of the outcome depends on the resources allocated to the deployment; on well-provisioned deployments a single request may cause degraded performance and elevated memory pressure rather than a full outage, but the request is inexpensive to repeat. |
| Allocation of Resources Without Limits or Throttling (CWE-770) in Kibana can lead to denial of service via Excessive Allocation (CAPEC-130). A specially crafted, malformed payload submitted to a Kibana visualization feature by an authenticated user holding only low-privileged access is not correctly validated before use. Processing the request causes unbounded memory growth in the Kibana process, which is terminated by the host once available memory is exhausted. Kibana then becomes unavailable to all users until the service is restarted. |
| Allocation of Resources Without Limits or Throttling (CWE-770) in Kibana can lead to denial of service via Excessive Allocation (CAPEC-130). An authenticated user with read-only privileges to the alerting feature could submit a specially crafted, malformed payload that causes the Kibana process to consume excessive resources. A single request is sufficient to leave Kibana unable to serve requests for all users until the process is restarted. |
| Allocation of Resources Without Limits or Throttling (CWE-770) in Kibana can lead to denial of service via Excessive Allocation (CAPEC-130). A query expression accepted by a connector reporting operation was processed without any limit on its size, and an oversized expression caused the Kibana process to spend an unbounded amount of time evaluating it. An authenticated user with read-only privileges was able to send a single request that left Kibana unable to serve any user until the process was restarted. |
| Gitea SSH Key Parser Denial of Service |
| IBM i 7.6, 7.5, 7.4, and 7.3 could allow a remote attacker to cause a denial of service due to improper processing of DRDA and DDM resynchronization requests. |
| Denial of Service via Unbounded io.ReadAll in NPM Package Tag Endpoint |
| IBM i 7.6, 7.5, 7.4, and 7.3 could allow a remote attacker to cause a denial of service due to unbounded resource allocation. |
| In the Linux kernel, the following vulnerability has been resolved:
batman-adv: frag: disallow unicast fragment in fragment
batadv_frag_skb_buffer() is called by batadv_batman_skb_recv() when a
BATADV_UNICAST_FRAG packet is received. Once all fragments are collected
and the packet is reassembled, batadv_recv_frag_packet() calls
batadv_batman_skb_recv() again to process the defragmented payload.
A malicious sender can craft a BATADV_UNICAST_FRAG packet whose reassembled
payload is itself a BATADV_UNICAST_FRAG packet (matryoshka-style nesting).
Each nesting level recurses through batadv_batman_skb_recv() without bound,
growing the kernel stack until it is exhausted.
Since refragmentation or fragments in fragments are not actually allowed,
discard all packets which are still BATADV_UNICAST_FRAG packets after the
defragmentation process. |
| Http4s (http4s-blaze-server) is a minimal, idiomatic Scala interface for HTTP services. Prior to 0.23.18 and 1.0.0-M42, http4s-blaze-server aggregates fragments of an incoming WebSocket message with no limit on total size or fragment count. A client that completes a WebSocket handshake can send an unterminated fragmented message and drive unbounded heap growth in the server JVM, resulting in denial of service through OutOfMemoryError. Any http4s application serving WebSocket routes over BlazeServerBuilder is affected, no non-default configuration is required, and maxWebSocketBufferSize does not bound the aggregate because it bounds only individual frames. A single connection sending continuation frames that never set FIN forces the server to buffer every fragment until the heap is exhausted, terminating the JVM with OutOfMemoryError on the blaze selector thread. Small fragments amplify the cost through per-frame object overhead, so a modest volume of wire bytes is sufficient. This issue is fixed in versions 0.23.18 and 1.0.0-M42. |
| Issue summary: When an OpenSSL QUIC server (Listener SSL object) processes
valid QUIC Initial packets for unknown destination connection IDs, it
can allocate and queue new incoming channels without enforcing any limit.
Impact summary: A remote peer that can make many Initial packets reach the
server listener faster than the application accepts connections, can cause the
memory allocated to store the per-channel state to grow without any limits,
potentially making the QUIC listener unavailable and causing Denial of Service.
CWE: CWE-770: Allocation of Resources Without Limits or Throttling
Description: The function that handles inbound QUIC packets uses
Connection-Id from the packet header to find an existing connection
(QUIC channel). If no existing connection is found and the packet
type is INITIAL, the function treats the packet as a new connection. It
allocates a new channel object and inserts it into a queue where it
waits to be accepted by the local application with SSL_accept(3ossl).
The memory occupied by these initial channel objects may grow
without bounds if the application is not able to call SSL_accept()
frequently enough to serve these inbound connection requests.
The issue is present since OpenSSL 3.5 when the QUIC server implementation
was added.
The fix introduces a limit for pending connections. The default limit is set
to 256 pending connections (waiting to be accepted by the local application).
Applications may change the default by calling SSL_set_value_uint(3ossl).
FIPS impact: no
The FIPS module is not affected as the QUIC implementation is outside of
the OpenSSL FIPS module boundary. |
| @hono/node-server allows running the Hono application on Node.js. From 2.0.0 until 2.0.10, a WebSocket upgrade request to an upgradeWebSocket route with a missing or malformed Sec-WebSocket-Key header causes src/websocket.ts to retain the request's IncomingMessage in waiterMap and leave waitForWebSocket pending because ws.handleUpgrade emits no connection event. The aborted handshake therefore has no cleanup path, allowing an unauthenticated attacker to flood a public route, cause unbounded memory growth, and eventually make the service unavailable. This issue is fixed in version 2.0.10. |
| IBM i 7.6, 7.5, 7.4, and 7.3 could allow a remote attacker to cause a denial of service due to improper validation of input size. |
| Rekor is a software supply chain transparency log. Starting in version 0.3.0 and prior to version 1.5.2, the `Package.Unmarshal()` function in `pkg/types/alpine/apk.go` decompresses the signature and control gzip members of an APK file into in-memory buffers without bounding the total decompressed size. The existing `max_apk_metadata_size` check (default 1MB) is only applied to individual tar entry header sizes after decompression completes, so it does not prevent a decompression bomb from consuming unbounded heap memory. An attacker can craft a gzip stream that compresses at a ~1000:1 ratio (e.g., 2MB compressed zeros → 2GB decompressed). When submitted as spec.package.content in an Alpine `ProposedEntry`, the server decompresses the full payload into memory during request processing, triggering a fatal Go runtime out-of-memory error or OS OOM-kill that cannot be caught by the server's recover() middleware. This is reachable via two unauthenticated endpoints, `POST /api/v1/log/entries (createLogEntry)` and `POST /api/v1/log/entries/retrieve (searchLogQuery)`. Both invoke `V001Entry.Canonicalize()` → `fetchExternalEntities()` → `apk.Unmarshal(packageData)`, which performs the unbounded decompression. Version 1.5.2 patches the issue. There is no effective workaround. Setting `max_request_body_size` reduces but does not eliminate exposure due to the ~1000:1 compression ratio (a 1MB body limit still allows ~1GB heap allocation). Setting `max_apk_metadata_size` has no effect on this vulnerability since the check is applied after decompression. |
| GitLab has remediated an issue in GitLab CE/EE affecting all versions from 18.5 before 19.0.6, 19.1 before 19.1.4, and 19.2 before 19.2.2 that under certain conditions could have allowed an unauthenticated user to cause a denial of service due to improper input validation. |
