| CVE |
Vendors |
Products |
Updated |
CVSS v3.1 |
| Integer Overflow, Improper Validation of Array Index, Uncontrolled Recursion and Memory Allocation with Excessive Size Value in the Go implementation of Apache PLC4X (PLC4Go) allow a malicious device, or an attacker able to inject network traffic, to crash or exhaust the memory of the client application,
causing a denial of service.
The individual defects are:
- Generated parsers pre-allocate arrays with the element count claimed on the wire (0.13.0 through 0.13.1).
- Transport read helpers allocate buffers of the size claimed on the wire without an upper bound.
- ADS and KNXnet/IP response handling indexes into received data without checking its length, causing a panic.
- ADS and EIP frame-length handling accepts, or arithmetically wraps to, a length of zero, breaking message framing.
- Recursive protocol types are parsed without a nesting-depth limit. The same defect in the Java implementation is covered by CVE-2026-102509 https://cveprocess.apache.org/cve5/CVE-2026-102509 .
Additionally, length and position arithmetic in generated serializers was performed in 16-bit integers. If an application forwards attacker-influenced payloads larger than 8 KB, the length field wraps, and the remainder of the payload may be interpreted by the receiving device (for example, an ADS PLC) as
additional, independent protocol messages.
This issue affects Apache PLC4X: from 0.11.0 before 1.0.0. PLC4Go is consumed as the Go module github.com/apache/plc4x/plc4go; versions refer to the corresponding Apache PLC4X releases.
Users are recommended to upgrade to version 1.0.0, which fixes the issue. |
| Memory Allocation with Excessive Size Value, Allocation of Resources Without Limits, and Uncontrolled Recursion in the Java implementation of Apache PLC4X (PLC4J) allow a malicious or impersonated device to exhaust the memory or stack of the client application, causing a denial of service.
In the OPC UA driver these defects are reachable before authentication: the offending data is parsed while the secure channel and session are being established, before the server's identity has been bound to it. Configuring a trusted server therefore does not prevent exploitation by an attacker who can
impersonate it.
The individual defects are:
- Length-prefixed byte strings are allocated at the size claimed on the wire before the length is checked against the data actually received (0.10.0 through 0.13.1).
- Array fields in generated protocol parsers pre-allocate a list with the element count claimed on the wire, allowing a single count field to trigger a multi-gigabyte allocation. This parser is shared by all PLC4J drivers; the OPC UA driver is the verified pre-authentication path (0.10.0 through 0.13.1).
- The OPC UA driver accumulates message chunks without enforcing the negotiated maximum chunk count and message size (0.12.0 through 0.13.1).
- The OPC UA driver pre-allocates collections using element counts received from the server (0.10.0 through 0.13.1).
- Recursive protocol types are parsed without a nesting-depth limit. The same defect in the Go implementation is covered by CVE-2026-102510 https://cveprocess.apache.org/cve5/CVE-2026-102510 .
This issue affects Apache PLC4X: from 0.10.0 before 1.0.0.
Users are recommended to upgrade to version 1.0.0, which fixes the issue. |
| pageant provides a [PageantStream] type that implements [AsyncRead] and [AsyncWrite] traits and can be used to talk to a running Pageant instance. Prior to pageant 0.2.3, the Windows pageant crate's pageant/src/wmmessage.rs MemoryMap::read function trusts a peer-controlled u32 response length supplied through the 8192-byte Pageant shared-memory mapping reached by AgentClient::connect_pageant. A local process that impersonates the Pageant window can make query_pageant_direct allocate up to approximately 4 GiB and copy beyond the mapped view, reliably crashing a russh client and conditionally exposing adjacent committed memory. This issue is fixed in pageant 0.2.3. |
| PX4 Autopilot through 1.17.0 contains an uncontrolled stack allocation vulnerability in the file2 test command that fails to validate the write chunk size parameter. Attackers with shell access can supply an excessively large value to the -c option to trigger stack overflow and crash the flight controller. |
| KubeEdge is an open source system for extending native containerized application orchestration capabilities to hosts at Edge. From 1.0.0 until 1.21.2, 1.22.2, and 1.23.1, Reader.Read in pkg/viaduct/pkg/packer trusts the 32-bit PackageHeader.PayloadLen received through the CloudHub viaduct message-processing path and allocates that amount of memory before validating an upper bound. An authenticated malicious or compromised edge peer can repeatedly send crafted headers with excessive declared lengths, causing memory exhaustion, CloudHub process termination or restart loops, and temporary disruption of cloud-edge communication. This issue does not provide unauthenticated access or direct code execution. This issue is fixed in versions 1.21.2, 1.22.2, and 1.23.1. |
| hiredis commit 29ea279 (post-v1.5.0) contains an uncontrolled memory allocation vulnerability in its RESP aggregate parser. |
| A pre-authentication attacker could leverage type size/count handling to cause excessive allocation leading to potential denial of service.
This issue affects Apache Qpid Broker-J: through 10.1.0.
Users are recommended to upgrade to version 10.1.1, which fixes the issue. |
| A flaw was found in Wildfly. A remote unauthenticated attacker can trigger OutOfMemoryError as CSIv2Util's GSS token decoder reads an attacker-controlled length field without bounds checking and attempts to allocate a byte array of that size. |
| Vector is a high-performance observability data pipeline. From 0.15.0 until 0.57.0, the logstash source reads a 32-bit compressed-frame length from the network and uses it to size an in-memory buffer without an upper bound. An unauthenticated remote peer that can reach the default 0.0.0.0:5044 listener can send a minimal frame declaring a multi-gigabyte payload, causing an excessive allocation that can abort Vector or invoke the host OOM killer. Because the allocation follows the declared length rather than bytes transmitted, the attacker has low resource cost, and process termination can halt log ingestion for every tenant on a shared pipeline. This issue is fixed in version 0.57.0. |
| A user could provide an expression whose string length is longer than the ParserExpressionSizeLimit() configured on the CEL environment, and a memory allocation would occur proportional to the size of the input before the limit would be checked / enforced. |
| A vulnerability has been found in O-RAN-SC SMO OAM 2025-06-10. Affected is an unknown function of the component VES Collector. Such manipulation of the argument additionalFields.padding leads to uncontrolled memory allocation. The attack can be launched remotely. The exploit has been disclosed to the public and may be used. The project was informed of the problem early through a bug report but has not responded yet. |
| Mattermost versions 11.9.x <= 11.9.1, 11.8.x <= 11.8.5, 11.7.x <= 11.7.10, 11.10.x <= 11.10.1 fail to enforce a request body size limit during CSRF validation of plugin requests which allows an authenticated user to exhaust server memory and cause a denial of service via a large request body sent to a plugin endpoint.. Mattermost Advisory ID: MMSA-2026-00775 |
| SIPGO is a library for writing SIP services in the GO language. Prior to 1.4.3, WSConnection.Read in sip/transport_ws.go creates a wsutil.Reader without setting MaxFrameSize, allowing NextFrame to accept a client-controlled header.Length before ParseMaxMessageLength is applied. An unauthenticated WS or WSS peer can send a frame header declaring an extremely large payload, causing an oversized allocation or a makeslice length panic before the payload is read and crashing or exhausting memory in the server process. This issue is fixed in version 1.4.3. |
| SIPGO is a library for writing SIP services in the GO language. Prior to 1.4.1, ParserStream.parseSingle in sip/parser_stream.go allocates a SIP body buffer from the client-controlled Content-Length header before ParseMaxMessageLength is enforced. An unauthenticated peer can send a stream-transport message over TCP, TLS, WS, or WSS with an oversized declared length, causing excessive memory allocation and denial of service before the body is read. This issue is fixed in version 1.4.1. |
| psd-tools is a Python package for working with Adobe Photoshop PSD files. Prior to 1.17.4, PSDImage.composite() and PSDImage.numpy() allocated output buffers from attacker-controlled PSD header geometry, including width, height, channels, depth, and per-layer rectangles, before validating those values against the available file data. A tiny crafted PSD could therefore cause multi-gigabyte memory allocation, and PSDImage.composite() could return a black image with only a warning instead of raising an exception. Services that composite untrusted PSD files could be terminated by out-of-memory handling. This issue is fixed in version 1.17.4. |
| vLLM through 0.29.0 fails to validate the tp_size parameter in kv_transfer_params on OpenAI-compatible completion endpoints, allowing attackers to allocate unbounded memory. Attackers can supply arbitrary tp_size values in prefill/decode disaggregated deployments to exhaust memory and trigger kernel OOM-kill of the decode worker process. |
| Wazuh is a free and open source platform used for threat prevention, detection, and response. From 3.9.0 until 4.14.5 and 5.0.0-beta2, the Wazuh cluster protocol in framework/wazuh/core/cluster/common.py allows an authenticated cluster node to exhaust memory on the master. The receive_str() method accepts an attacker-controlled total for InBuffer without a maximum, so a new_str command can request a multi-gigabyte bytearray and repeated requests accumulate in in_str. The divided-message path also retains flag_divided fragments under unique counters in div_msg_box without a count, aggregate-size, or expiration limit. Exploitation can disrupt agent connectivity and alert processing across the monitored environment. This issue is fixed in versions 4.14.5 and 5.0.0-beta2. |
| The CompressionFilter class uses ZLib to deflate and inflate data sent and received. When we inflate incoming data, the filter does not control the resulting size, and create a buffer no matter what.
Some compressed data may have a compression ration greater than 1 thousand, leading to an exhaustion of the application memory, as we don't control the deflated size.
The fix adds such a control by allowing the application developer to provide a fixed size limit, which when reached throws an exception. It also allows the user to provide a compression ratio that should not be exceeded, protected the application from small inflated files that inflate in gigantic files, but with a grace limit for the resulting size (1Mb) to avoid false positive (like a very small file inflating with a high ratio, but resulting with a acceptable size, like a few thousands bytes)
For application using this feature, it is highly recommended to create the CompressionFilter and to pass the maximum limit as a forth constructor parameter, maxDecompressedSize:
public CompressionFilter(final boolean compressInbound, final boolean compressOutbound, final int compressionLevel, final int maxDecompressedSize)Optionally one can also provide a maxDecompressRatio fifth parameter, and a decompressRatioMinSize sixth parameter to allow small inflated files with a high compression ratio to still be accepted.
Here are the additional constructor:
public CompressionFilter(final boolean compressInbound, final boolean compressOutbound,
final int compressionLevel, final int maxDecompressedSize,
final long maxDecompressRatio, final long decompressRatioMinSize)
Also note that a fluent API has been added to spare the users the pain to call a constructor with that many parameters:
CompressionFilter compressionFilter = new CompressionFilter()
.setCompressionLevel(Zlib.COMPRESSION_MAX)
.setMaxDecompressedSize(1_000_000)
.setMaxDecompressRatio(100).
.setDecompressRatioMinSize(100_000);
Applications using Apache MINA are advised to upgrade and configure their CompressionFilter instance. |
| adm-zip is a JavaScript library for creating and extracting ZIP archives in Node.js. Prior to 0.6.1, getData() in zipEntry.js trusts an entry's central-directory uncompressed size and allocates output memory before validating that value against the actual compressed data and decompression result. A small crafted ZIP can declare a multi-gigabyte uncompressed size, causing Buffer.alloc and decompression handling to commit excessive resident memory before CRC validation reports an error. Applications that read entries from untrusted archives can therefore be terminated by the operating system or suffer service-wide memory exhaustion. This issue is fixed in version 0.6.1. |
| In the Linux kernel, the following vulnerability has been resolved:
blk-cgroup: fix race between policy activation and blkg destruction
When switching an IO scheduler on a block device, blkcg_activate_policy()
allocates blkg_policy_data (pd) for all blkgs attached to the queue.
However, blkcg_activate_policy() may race with concurrent blkcg deletion,
leading to use-after-free and memory leak issues.
The use-after-free occurs in the following race:
T1 (blkcg_activate_policy):
- Successfully allocates pd for blkg1 (loop0->queue, blkcgA)
- Fails to allocate pd for blkg2 (loop0->queue, blkcgB)
- Enters the enomem rollback path to release blkg1 resources
T2 (blkcg deletion):
- blkcgA is deleted concurrently
- blkg1 is freed via blkg_free_workfn()
- blkg1->pd is freed
T1 (continued):
- Rollback path accesses blkg1->pd->online after pd is freed
- Triggers use-after-free
In addition, blkg_free_workfn() frees pd before removing the blkg from
q->blkg_list. This allows blkcg_activate_policy() to allocate a new pd
for a blkg that is being destroyed, leaving the newly allocated pd
unreachable when the blkg is finally freed.
Fix these races by extending blkcg_mutex coverage to serialize
blkcg_activate_policy() rollback and blkg destruction, ensuring pd
lifecycle is synchronized with blkg list visibility. |