CVE Watch22 sept 2026

CVE-2026-77619

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 leng

CVSS

—

Sin CVSS

EPSS

—

KEV

—

Exploit Today

0-100

Publicado: 22 sept 2026 · Última mod.: 22 sept 2026 · CWE-130 · CWE-789

EPSS · 30d

Sin historial EPSS suficiente todavía.

Descripción técnica

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.

Referencias oficiales

CVEs relacionados

CVECVSSEPSSKEVRExplotTítuloVis.

CVE-2026-946267.5 ALT

38.2%

——11vLLM 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.23h CVE-2026-623706.5 MED

42.1%

——13KubeEdge 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 1.23.1.1d CVE-2026-473217.5 ALT

23.8%

——7The 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.1d CVE-2026-773017.5 ALT

35.1%

——11adm-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 0.6.1.4d CVE-2026-930199.1 CRÍ

47.7%

——14Imager versions before 1.036 for Perl exit the process reading a TGA with a colour map length of 32768 or more in tga_palette_read. The reader unpacks the two-byte colour map length into a signed short, so a length of 32768 or more becomes negative. tga_palette_read() casts that value to size_t and asks mymalloc() for a size near SIZE_MAX. The allocation fails and Imager's allocator calls exit(3). Reading an attacker-supplied file through Imager->read() triggers an uncatchable exit.4d CVE-2023-57787.5 ALT

21.7%