| CVE |
Vendors |
Products |
Updated |
CVSS v3.1 |
| Furl 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. |
| 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. |
| A flaw was found in RESTEasy's IIOImageProvider, which decodes attacker-supplied image request bodies without enforcing any limit on the declared image dimensions or pixel count. A remote, unauthenticated attacker can send a small crafted image declaring enormous dimensions to trigger a very large memory allocation, exhausting the JVM heap and resulting in a denial of service. |
| A vulnerability has been identified in armeria-saml versions prior to 1.43.0, where the HTTP-Redirect binding decoder decompresses attacker-supplied SAML messages without limiting the output size before signature validation, allowing an unauthenticated remote attacker to exhaust server memory and cause a denial of service. |
| When an operator enables store.analysis_statistics_dir, a network client with PRODUCT_STORE permission for a product can call that product's storeAnalysisStatistics Thrift-over-HTTP method. CodeChecker 6.29.0 decodes the attacker-controlled Base64 string and passes the complete compressed input to one-shot zlib.decompress(). No maximum decompressed size is enforced.
This gives a correctly authorized, non-superuser store account a high-ratio memory and persistent-disk amplification primitive. The complete output is first materialized as a Python bytes object and is then written to the configured statistics directory. A sufficiently scaled payload can exhaust the API worker or host memory and impair CodeChecker availability.
The shipped value of store.analysis_statistics_dir is null, so the affected feature is disabled by default. The primary assessment does not rely on authentication being disabled. There is no authorization bypass and no path traversal in this report. |
| A flaw was found in libmodulemd. In builds with rpmio support enabled, compressed modulemd YAML is decompressed through a custom read handler that does not enforce a cumulative decompressed-size limit before parsing. An attacker who can supply a highly compressible compressed YAML file can cause excessive CPU and memory consumption, resulting in a denial of service. |
| The broker-side PushTelemetry API (KIP-714) validates only the compressed size of a client's metrics payload against telemetry.max.bytes (default 1 MB) before decompressing it. ClientTelemetryUtils.decompress() then decompresses the payload with no limit on the decompressed output size, growing a heap buffer until the compressed input is exhausted. A small, highly compressible payload (for example gzip-compressed zeros) can therefore expand to hundreds of megabytes of broker heap.
Impact:
An authenticated client can send a PushTelemetry request with a small compressed payload that decompresses to a very large size, consuming broker heap out of proportion to the request size. Repeated or concurrent requests can exhaust the broker heap and cause an OutOfMemoryError, degrading or crashing the broker; a client that targets multiple brokers can affect cluster availability. PushTelemetry is available to any authenticated client and is not gated by an ACL.
Mitigation:
Upgrade to Apache Kafka 4.2.2, 4.3.1, or 4.4.0. On affected versions there is no configuration that fully prevents the amplification, because telemetry.max.bytes bounds only the compressed size; lowering telemetry.max.bytes reduces the worst-case decompressed size proportionally and is a partial mitigation.
Resolution:
- From Apache Kafka 4.2.2, 4.3.1, and 4.4.0: ClientTelemetryUtils.decompress() enforces a maximum decompressed size equal to telemetry.max.bytes (default 1 MB). Decompression reads in bounded chunks and aborts with a TelemetryTooLargeException once the decompressed total exceeds the limit, so an over-large or highly compressible payload is rejected instead of being fully expanded in heap. The decompressed size is therefore bounded by default. |
| Ghidra before 12.2 contains an improper handling of highly compressed data vulnerability in ExtensionUtils.unzipToInstallationFolder() that allows attackers to exhaust disk space. Attackers can persuade users to install a crafted zip bomb extension archive that expands without size limits, causing later writes by Ghidra and other applications to fail. |
| A flaw was found in libsoup's WebSocket implementation when using the permessage-deflate extension. The extension's decompression loop (inflate()) processes data in chunks without enforcing an upper boundary limit on the output buffer size. While libsoup limits the incoming compressed frame size via max_incoming_payload_size, it fails to track or limit memory allocation during decompression. A separate check for decompressed size (max_total_message_size) exists but executes only after inflation is complete, and it is entirely disabled by default for client connections. A remote, unauthenticated attacker can exploit this by sending a small, highly compressed payload (a decompression bomb), causing unbounded memory allocation that triggers an Out-of-Memory (OOM) crash and a Denial of Service (DoS). |
| Kyverno 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. |
| Kyverno 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. |
| Echo is a Go web framework. From 4.0.0 until 4.16.1, Echo v4's opt-in Decompress middleware exposes a gzip-decoded request stream without limiting its expanded size. A small compressed request can expand into a very large body when a handler reads or binds it, consuming excessive memory or CPU and allowing repeated or concurrent requests to cause denial of service. The middleware is not enabled by default, and limiting only the compressed request size does not bound the decoded size. This issue is fixed in 4.16.1. |
| When 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. |
| SmileCDR HAPI FHIR does not properly handle highly compressed data, allowing an unauthenticated attacker to send compressed payloads that exhaust server heap or crash certain services when decompressed. |
| In the Linux kernel, the following vulnerability has been resolved:
wifi: mt76: mt7996: Fix possible token leak in mt7996_tx_prepare_skb()
If link_conf or link_sta lookup fails in mt7996_tx_prepare_skb routine,
mt7996 driver leaks an already allocated tx token. Fix the issue
releasing the token in case of error. |
| Lib/zipfile.py in Python through 3.7.2 allows remote attackers to cause a denial of service (resource consumption) via a ZIP bomb. |
| PraisonAI is a multi-agent teams system. Prior to 4.5.128, the _safe_extractall() function in PraisonAI's recipe registry validates archive members against path traversal attacks but performs no checks on individual member sizes, cumulative extracted size, or member count before calling tar.extractall(). An attacker can publish a malicious recipe bundle containing highly compressible data (e.g., 10GB of zeros compressing to ~10MB) that exhausts the victim's disk when pulled via LocalRegistry.pull() or HttpRegistry.pull(). This vulnerability is fixed in 4.5.128. |
| Unfurl before 2026.04 contains an unbounded zlib decompression vulnerability in parse_compressed.py that allows remote attackers to cause denial of service. Attackers can submit highly compressed payloads via URL parameters to the /json/visjs endpoint that expand to gigabytes, exhausting server memory and crashing the service. |
| An issue was discovered in Cinnamon kotaemon 0.11.0. The _may_extract_zip function in the \libs\ktem\ktem\index\file\ui.py file does not check the contents of uploaded ZIP files. Although the contents are extracted into a temporary folder that is cleared before each extraction, successfully uploading a ZIP bomb could still cause the server to consume excessive resources during decompression. Moreover, if no further files are uploaded afterward, the extracted data could occupy disk space and potentially render the system unavailable. Anyone with permission to upload files can carry out this attack. |
| urllib3 is a user-friendly HTTP client library for Python. Starting in version 1.0 and prior to 2.6.0, the Streaming API improperly handles highly compressed data. urllib3's streaming API is designed for the efficient handling of large HTTP responses by reading the content in chunks, rather than loading the entire response body into memory at once. When streaming a compressed response, urllib3 can perform decoding or decompression based on the HTTP Content-Encoding header (e.g., gzip, deflate, br, or zstd). The library must read compressed data from the network and decompress it until the requested chunk size is met. Any resulting decompressed data that exceeds the requested amount is held in an internal buffer for the next read operation. The decompression logic could cause urllib3 to fully decode a small amount of highly compressed data in a single operation. This can result in excessive resource consumption (high CPU usage and massive memory allocation for the decompressed data. |
