| CVE |
Vendors |
Products |
Updated |
CVSS v3.1 |
| Allocation of Resources Without Limits or Throttling vulnerability in leandrocp MDEx allows Excessive Allocation.
MDEx.parse_document/2 accepts a {:json, json} source. In lib/mdex.ex, the private json_to_node/1 function passes the attacker-controlled node_type value to Module.concat/1, which calls String.to_atom/1 and interns a brand-new atom for every distinct value. Atoms are never garbage collected on the BEAM, so a crafted JSON document carrying a unique node_type at each (deeply nested) node mints one permanent atom per node.
A single document can intern hundreds of thousands of atoms, and a large enough document exhausts the default atom table (around 1,048,576 atoms) and aborts the entire Erlang VM, taking down every process on the node. Any application that passes untrusted input to the {:json, ...} source of MDEx.parse_document is exposed to an unauthenticated denial-of-service.
This issue affects mdex from 0.4.3 before 0.13.2. |
| A flaw was found in Undertow where malformed client requests can trigger server-side stream resets without triggering abuse counters. This issue, referred to as the "MadeYouReset" attack, allows malicious clients to induce excessive server workload by repeatedly causing server-side stream aborts. While not a protocol bug, this highlights a common implementation weakness that can be exploited to cause a denial of service (DoS). |
| OOM Denial of Service via Unbounded Array Allocation in Apache OpenNLP AbstractModelReader
Versions Affected:
before 1.9.5
before 2.5.9
before 3.0.0-M3
Description:
The AbstractModelReader methods getOutcomes(), getOutcomePatterns(), and getPredicates() each read a 32-bit signed integer count field from a binary model stream and pass that value directly to an array allocation (new String[numOutcomes], new int[numOCTypes][], new String[NUM_PREDS]) without validating that the value is non-negative or within a reasonable bound. The count is therefore fully attacker-controlled when the model file originates from an untrusted source.
A crafted .bin model file in which any of these count fields is set to Integer.MAX_VALUE (or any value large enough to exhaust the available heap) triggers an OutOfMemoryError at the array allocation itself, before the corresponding label or pattern data is consumed from the stream. The error occurs very early in deserialization: for a GIS model, getOutcomes() is reached after only the model-type string, the correction constant, and the correction parameter have been read; so the attacker pays no meaningful size cost to weaponize a payload, and a single small file can crash a JVM that loads it. Any code path that deserializes a .bin model is affected, including direct use of GenericModelReader and any higher-level component that delegates to it during model load.
The practical impact is denial of service against processes that load model files from untrusted or semi-trusted origins.
Mitigation:
* 2.x users should upgrade to 2.5.9.
* 3.x users should upgrade to 3.0.0-M3.
Note: The fix introduces an upper bound on each of the three count fields, checked before array allocation; counts that are negative or exceed the bound cause an IllegalArgumentException to be thrown and the read to fail fast with no large allocation. The default bound is 10,000,000, which is well above the entry counts of legitimate OpenNLP models but far below any value that would threaten heap exhaustion. Deployments that legitimately need to load models with more entries than the default can raise the limit at JVM startup by setting the OPENNLP_MAX_ENTRIES system property to the desired positive integer (e.g. -DOPENNLP_MAX_ENTRIES=50000000); invalid or non-positive values fall back to the default.
Users who cannot upgrade immediately should treat all .bin model files as untrusted input unless their provenance is verified, and should avoid loading models supplied by end users or fetched from third-party repositories without integrity checks. |
| AutoGPT is a workflow automation platform for creating, deploying, and managing continuous artificial intelligence agents. Prior to 0.6.32, there is a DoS vulnerability in ExtractTextInformationBlock. Malicious users can amplify their input. For example, if a malicious user inputs 10K of content, the server will consume 50G of memory, eventually causing memory resources to be exhausted, resulting in DoS. This vulnerability is fixed in 0.6.32. |
| In the Linux kernel, the following vulnerability has been resolved:
wifi: nl80211: reject oversized EMA RNR lists
nl80211_parse_rnr_elems() stores the parsed element count in a
u8-backed cfg80211_rnr_elems::cnt field and uses that count to size
the flexible array allocation.
Reject nested NL80211_ATTR_EMA_RNR_ELEMS input once the count reaches
255, before incrementing it again. This keeps the parser aligned with
the data structure it fills and matches the existing bound check used
by nl80211_parse_mbssid_elems(). |
| In the Linux kernel, the following vulnerability has been resolved:
vsock/virtio: fix potential unbounded skb queue
virtio_transport_inc_rx_pkt() checks vvs->rx_bytes + len > vvs->buf_alloc.
virtio_transport_recv_enqueue() skips coalescing for packets
with VIRTIO_VSOCK_SEQ_EOM.
If fed with packets with len == 0 and VIRTIO_VSOCK_SEQ_EOM,
a very large number of packets can be queued
because vvs->rx_bytes stays at 0.
Fix this by estimating the skb metadata size:
(Number of skbs in the queue) * SKB_TRUESIZE(0) |
| AutoGPT is a workflow automation platform for creating, deploying, and managing continuous artificial intelligence agents. Prior to 0.6.32, there is a DoS vulnerability in AITextSummarizerBlock. Malicious users can amplify their input. For example, if a malicious user inputs 10K of content, the server will consume 50G of memory, eventually causing memory resources to be exhausted, resulting in DoS. This vulnerability is fixed in 0.6.32. |
| The TIFF decoder does not set a limit on the size of tiles in tiled images, permitting a malicious or corrupt image containing a very large tile to cause unbounded memory consumption. |
| jq is a command-line JSON processor. Prior to 1.8.2, comparing two sufficiently deeply nested arrays with the == operator exhausts the C stack on jq's ordinary command-line surface, resulting in denial of service via stack exhaustion (uncontrolled recursion). The crash occurs in jq's recursive structural comparison code, with the recursion repeating through jvp_array_equal() and jv_equal() in src/jv.c when comparing deeply nested arrays; a nearby sort comparator path through jv_cmp() in src/jv_aux.c overflows the stack at a larger nesting depth from the same missing recursion guard. Anyone running jq comparisons on attacker-controlled deeply nested JSON values, or embedding jq in a context where untrusted data can reach the == comparison path, is affected. This vulnerability is fixed in 1.8.2. |
| A flaw in Node.js WebCrypto implementation can crash the process if the input of `subtle.encrypt()` is a multiple of 2GiB.
This vulnerability affects all supported release lines: **Node.js 22**, **Node.js 24**, and **Node.js 26**. |
| A flaw in Node.js HTTP/2 client allows a server to send an unlimited number of ORIGIN frames, which could lead to an Out of Memory error on the client.
This vulnerability affects all supported release lines: **Node.js 22**, **Node.js 24**, and **Node.js 26**. |
| A flaw was found in KubeVirt's downward metrics virtio-serial server. The server reads guest requests using textproto.Reader.ReadLine(), which buffers input indefinitely until a newline character is received, with no length limit or read deadline. A user with access to a VM guest that has the downward metrics virtio-serial device configured can write a continuous byte stream to the device, causing unbounded memory allocation in the virt-handler process until it is OOM-killed. |
| DoS Vulnerability in 10G iSCSI Interface of Hitachi Virtual Storage Platform.
This issue affects Hitachi Virtual Storage Platform E990, E1090, E1090H: before DKCMAIN Ver.93-07-21-80/00-05, CHB(iSCSI) Ver.88-01-02-04, before DKCMAIN Ver.93-07-01-80/00-07, CHB(iSCSI) Ver.88-01-02-04, before DKCMAIN Ver.93-06-82-80/00-06, CHB(iSCSI) Ver.88-01-02-04, before DKCMAIN Ver.93-06-63-80/00-04, CHB(iSCSI) Ver.88-01-02-04; Hitachi Virtual Storage Platform E390, E590, E790, E390H, E590H, E790H: before DKCMAIN Ver.93-07-21-x0/00-05, CHB(iSCSI) Ver.88-01-02-04, before DKCMAIN Ver.93-07-01-x0/00-07, CHB(iSCSI) Ver.88-01-02-04, before DKCMAIN Ver.93-06-82-x0/00-06, CHB(iSCSI) Ver.88-01-02-04, before DKCMAIN Ver.93-06-63-x0/00-04, CHB(iSCSI) Ver.88-01-02-04, before DKCMAIN Ver.93-07-24-x0/00-02, CHB(iSCSI) Ver.88-01-02-04, before DKCMAIN Ver.93-07-02-x0/00-02, CHB(iSCSI) Ver.88-01-02-04; Hitachi Virtual Storage Platform G130, G150, G350, G370, G700, G900, F350, F370, F700, F900: before DKCMAIN Ver.88-08-10-x0/00-05, CHB(iSCSI) Ver.88-01-02-04; Hitachi Virtual Storage Platform G100, G200, G400, G600, G800, F400, F600, F800: before DKCMAIN Ver.83-06-20-x0/00-05, CHB(iSCSI) Ver.83-01-01-29; Hitachi Virtual Storage Platform VX8, 5100, 5500, 5100H, 5500H, 5200, 5600, 5200H, 5600H: before DKCMAIN Ver.90-09-01-00/01-01, CHB(iSCSI) Ver.90-01-01-07, before DKCMAIN Ver.90-08-83-00/01-01, CHB(iSCSI) Ver.90-01-01-07, before DKCMAIN Ver.90-08-63-00/01-01, CHB(iSCSI) Ver.90-01-01-07; Hitachi Virtual Storage Platform VX7, G1000, G1500, F1500: before DKCMAIN Ver.80-06-93-00/00-04, ISFC Ver.80-01-17. |
| A denial-of-service (DoS) vulnerability has been identified in Tapo C200 v3 in the network packet handling logic due to improper handling of IPv4 fragmented packets. An unauthenticated adjacent attacker can send crafted packets to cause excessive resource consumption, leading to instability of the device.Successful exploitation can remotely trigger a temporary denial-of-service condition, causing the camera to become unresponsive and resulting in intermittent loss of video monitoring and recording. |
| In the Linux kernel, the following vulnerability has been resolved:
net/sched: netem: fix queue limit check to include reordered packets
The queue limit check in netem_enqueue() uses q->t_len which only
counts packets in the internal tfifo. Packets placed in sch->q by
the reorder path (__qdisc_enqueue_head) are not counted, allowing
the total queue occupancy to exceed sch->limit under reordering.
Include sch->q.qlen in the limit check. |
| A vulnerability was found in Wildfly’s management interface. Due to the lack of limitation of sockets for the management interface, it may be possible to cause a denial of service hitting the nofile limit as there is no possibility to configure or set a maximum number of connections. |
| An attacker can send crafted DNS over HTTP/3 queries, triggering an exception that prevents some buffer from being freed right away. The buffer will be freed at the end of the QUIC connection, but on some setups it might be possible to open enough concurrent DoH3 streams to trigger an out-of-memory condition, resulting in a denial of service. |
| A flaw was found in libsoup. The SoupWebsocketConnection may accept a large WebSocket message, which may cause libsoup to allocate memory and lead to a denial of service (DoS). |
| A flaw was found in Rust's Ring package. A panic may be triggered when overflow checking is enabled. In the QUIC protocol, this flaw allows an attacker to induce this panic by sending a specially crafted packet. It will likely occur unintentionally in 1 out of every 2**32 packets sent or received. |
| LibreChat is an enhanced ChatGPT clone that supports multiple AI providers. Prior to 0.8.4-rc1, the fix for CVE-2025-7105 added forkIpLimiter and forkUserLimiter rate limiters to POST /api/convos/fork to prevent rapid-fire conversation duplication. However, the POST /api/convos/duplicate endpoint — which is in the same file and performs the exact same expensive database operations — was not given any rate limiter. An authenticated user can bypass the CVE-2025-7105 fix by using /duplicate instead of /fork to exhaust server resources. This vulnerability is fixed in 0.8.4-rc1. |
