CVE-2026-107335
Malcolm's upload-processing pipeline (scripts/safe-extract.py) enforces entry-count, nesting-depth, and total-uncompressed-byte limits when
CVSS
6.5
Média
EPSS
0.5%
p40
KEV
—
Exploit Today
12
0-100
Publicado: 8 de out. de 2026 · Última mod.: 13 de out. de 2026 · CWE-409
0.4%EPSS · 30 dias0.5%
2026-10-092026-11-05
Malcolm's upload-processing pipeline (scripts/safe-extract.py) enforces entry-count, nesting-depth, and total-uncompressed-byte limits when extracting container archives (zip/tar/rar/7z via libarchive), but those limits are not applied when the uploaded file is a single-stream compressed format (.gz, .bz2, .xz, .lzma, .lz) that isn't a .tar.*-style archive. Any authenticated user permitted to upload PCAP/log files can upload a small, highly compressible file (e.g. a gzip bomb) that decompresses to an effectively unbounded size on disk, exhausting the shared Docker volume used by OpenSearch, Logstash, Arkime, and Zeek, and disrupting the platform for all users.
CVECVSSEPSSKEVRExploitTítuloMod.
CVE-2026-1194346.2 MÉD—
———Improper Handling of Highly Compressed Data (Data Amplification) vulnerability in silviucpp ezstd allows an attacker who supplies a zstd frame to ezstd:decompress_using_ddict/2 to exhaust memory and terminate the Erlang VM via a small frame that declares a very large content size.
zstd_nif_decompress_using_ddict in c_src/ezstd_nif.cc reads the frame's declared content size with ZSTD_getFrameContentSize and passes it directly to enif_make_new_binary, without the 1 GiB MAX_BUFFER_SIZE check that ezstd:decompress/1 applies before allocating. A valid 65,550-byte frame of RLE blocks declaring 2 GiB is rejected by ezstd:decompress/1 but is fully allocated and decompressed by the dictionary path. The allocation happens inside a NIF, so when it exceeds the memory available to the VM the operating system kills the whole node rather than the calling process.
This issue affects ezstd: from 1.0.5 before 1.2.5.16hCVE-2026-1223237.5 ALT27.2%
——8Kyverno from 1.11.0 before 1.19.2 contains an unbounded decompression vulnerability in FetchSignatureBlob that allows attackers to exhaust memory by supplying highly compressed notary signature layers. Attackers who control registry referrers or signatures can publish small gzip layers that decompress beyond maxPayloadSize, causing admission controller OOM kills and denial of service.22hCVE-2026-1223227.5 ALT33.9%
——10Kyverno from 1.11.0 before 1.19.2 contains an unbounded decompression vulnerability in extractStatement that allows remote attackers to exhaust memory by supplying highly compressed attestation layers. Attackers controlling registry referrer artifacts can push gzip predicate layers exceeding maxPayloadSize when decompressed, causing admission controller OOM kills and denial of service.22hCVE-2026-65059—13.5%
——4Furl versions through 3.15 for Perl allow memory exhaustion via unbounded decompression of HTTP responses.
Furl inflates a response body sent with a gzip, x-gzip or deflate Content-Encoding and appends the output to the response string with no size limit. It does this whether or not the request asked for compression, and no option caps the decompressed size. Responses read with write_file or write_code are streamed rather than held in memory.
A malicious server, or an attacker on a plain HTTP connection, can send a small compressed response that expands to exhaust the client's memory and end the process.4dCVE-2026-117677—11.3%
——3When parsing an uploaded Helm chart, Gitea decompressed the archive and read every tar entry while looking for `Chart.yaml` without limiting the decompressed size, and did so before the package size quota was checked; the quota only considers the compressed upload size. A user with package write access to an owner, for example their own account on an instance with open registration, could repeatedly upload small, highly compressed archives that make the server spend CPU time proportional to the decompressed size, degrading the availability of the Gitea instance. The issue does not allow code execution or data access.5dCVE-2026-1187617.5 ALT42.6%
——13Kubeflow Pipelines enables users to build and deploy portable, scalable machine learning workflows. Prior to 2.18.0, the API server decompressed uploaded pipeline archives without adequately bounding expanded data while locating or reading the pipeline file. A small ZIP or gzip-compressed tar archive can consume disproportionately large memory and exhaust API-server resources. Multipart pipeline and pipeline-version upload processing performs decompression before namespace authorization, so a reachable caller does not need a successful pipeline-create authorization decision. URL-import handlers authorize before fetching and decompressing a remote archive. The amount of expansion required to interrupt service depends on deployment resource limits and concurrent activity, and no specific archive is guaranteed to crash every deployment. This issue is fixed in version 2.18.0.7d