| CVE |
Vendors |
Products |
Updated |
CVSS v3.1 |
| 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. |
| 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. |
| 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. |
| Tanium addressed a compression bomb vulnerability in Enforce. |
| 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 potatosalad jose (erlang-jose) allows a remote attacker to exhaust a node's memory with a small crafted JWE token.
The jose_jwe_zip:uncompress/2 function in src/jwe/jose_jwe_zip.erl decompresses the DEFLATE-compressed plaintext of a JWE that carries the optional zip: DEF header by calling zlib:inflate/2 on the entire attacker-controlled stream, with no bound on the output size or the inflation ratio. Raw DEFLATE reaches ratios around 1000:1 on highly repetitive input, so a few-kilobyte token inflates to hundreds of megabytes or gigabytes in a single call.
Decompression runs automatically during decryption through jose_jwe:block_decrypt/2 (JOSE.JWE.block_decrypt/2 in Elixir), before the recipient can inspect or reject the payload. With the common asymmetric key-management algorithms (RSA-OAEP, ECDH-ES) an attacker needs only the recipient's public key to craft such a token, so no authentication or secret material is required. A single small token can exhaust the node's memory and crash the BEAM, denying service to all users.
This issue affects jose: from 1.0.0 before 1.11.13. |
| 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 bind the volume of text extracted from an uploaded PDF which allows an authenticated user to exhaust server memory and cause a denial of service via a crafted PDF whose compressed content stream expands into a very large amount of text.. Mattermost Advisory ID: MMSA-2026-00769 |
| pypdf is a free and open-source pure-python PDF library. Prior to version 6.1.3, an attacker who uses this vulnerability can craft a PDF which leads to large memory usage. This requires parsing the content stream of a page using the LZWDecode filter. This has been fixed in pypdf version 6.1.3. |
| 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. |
| Improper Handling of Highly Compressed Data (Data Amplification) in esaml_binding in dropbox esaml allows an unauthenticated attacker to exhaust server memory and crash the Erlang VM via a crafted compressed SAMLResponse.
esaml_binding:decode_response/2 base64-decodes the attacker-supplied SAMLResponse, inflates it with zlib:unzip/1 with no bound on the output, then converts the result to a charlist with binary_to_list/1 before parsing. This runs on the SAML consume (ACS) and single-logout endpoints, which accept unauthenticated requests by design, and it runs before any signature check. A small deflate stream reaches a compression ratio near 1000 to 1, so a request body of tens of kilobytes inflates to hundreds of megabytes and then to several gigabytes of list heap, so a few requests exhaust memory and take the node down.
This issue affects esaml: from 0.1.0 onward. |
| Kubeflow 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. |
| Pillow is a Python imaging library. Prior to 13.0.0, MpoImageFile.seek() and DcxImageFile.seek() reparse later MPO or DCX frames and replace self._size without rerunning Image._decompression_bomb_check(). A crafted multi-frame image can use a tiny first frame to pass Image.open() and then declare an over-limit later frame. Normal frame iteration through seek(), load(), or ImageSequence.Iterator can decode that frame and commit hundreds of megabytes or more, causing memory-exhaustion denial of service. This issue is fixed in version 13.0.0. |
| In the Linux kernel, the following vulnerability has been resolved:
kasan: fix cache shrink race with CPU hotplug
kasan_quarantine_remove_cache() first invokes per_cpu_remove_cache() on
all online CPUs. Each callback moves objects belonging to the cache from
cpu_quarantine to the CPU's shrink_qlist, where they can later be freed
from task context.
kmem_cache_destroy() invokes the quarantine removal path while holding
cpus_read_lock(), but kmem_cache_shrink() does not. The latter can
therefore race with CPU offlining as follows:
kmem_cache_shrink() CPU hotplug
------------------- -----------
on_each_cpu()
CPU1 moves objects to
CPU1's shrink_qlist
on_each_cpu() returns
CPU1 goes offline
kasan_cpu_offline()
drains cpu_quarantine
leaves shrink_qlist untouched
for_each_online_cpu()
skips CPU1
The objects left on CPU1's shrink_qlist are not returned to the slab
allocator. This may prevent kmem_cache_shrink() from releasing slabs that
would otherwise become empty. If CPU1 remains offline, a later
kmem_cache_destroy() also skips the list and can report that the cache
still contains objects.
An intermittent occurrence was observed with a virtio-9p filesystem. The
mount and umount commands both returned 0, but the kernel logged the
following during the userspace-triggered teardown:
[ 2994.380134][ T111] BUG 9p-fcall-cache-1 (Tainted: G B ): Objects remaining on __kmem_cache_shutdown()
[ 2994.381140][ T111] Object 0xff11000004361118 @offset=4376
[ 2994.381607][ T111] Allocated in p9_fcall_init+0x201/0x400 age=19564 cpu=1 pid=104
[ 2994.382591][ T111] p9_fcall_init+0x201/0x400
[ 2994.382810][ T111] p9_tag_alloc+0x12f/0x700
[ 2994.382982][ T111] p9_client_prepare_req+0x102/0x3e0
[ 2994.383165][ T111] p9_client_rpc+0x1ab/0xa50
[ 2994.383334][ T111] p9_client_getattr_dotl+0xb0/0x1a0
[ 2994.383515][ T111] v9fs_vfs_getattr_dotl+0x115/0x360
[ 2994.383719][ T111] vfs_getattr_nosec+0x22c/0x3a0
[ 2994.383910][ T111] vfs_statx+0xd7/0x170
[ 2994.384062][ T111] vfs_fstatat+0x45/0x80
[ 2994.384215][ T111] __do_sys_newfstatat+0x84/0xe0
[ 2994.384386][ T111] do_syscall_64+0x115/0x6a0
[ 2994.384566][ T111] entry_SYSCALL_64_after_hwframe+0x77/0x7f
[ 2994.399720][ T111] WARNING: mm/slub.c:1244 at __kmem_cache_shutdown+0x363/0x500, CPU#0: busybox/111
[ 2994.405655][ T111] Call Trace:
[ 2994.406325][ T111] kmem_cache_destroy+0x73/0x1b0
[ 2994.406630][ T111] p9_client_destroy+0x271/0x3c0
[ 2994.407210][ T111] v9fs_session_close+0x3c/0x260
[ 2994.407409][ T111] v9fs_kill_super+0x48/0x90
[ 2994.407584][ T111] deactivate_locked_super+0xa3/0x160
[ 2994.407778][ T111] cleanup_mnt+0x1dd/0x3e0
Thus, a successful umount left objects in the 9p fcall cache and prevented
the cache from being destroyed cleanly.
Per-CPU shrink_qlist storage exists for every possible CPU, and each list
is protected by its own raw spinlock. Iterate over possible CPUs so that
a list populated before its CPU went offline is drained as well.
for_each_possible_cpu() can do more work than for_each_online_cpu(), but
this change only affects CONFIG_KASAN_GENERIC kernels. The extra work is
limited to cache shrink and cache destruction paths and does not affect
the normal allocation/free fast path. It adds one raw-spinlock-protected
scan of each possible CPU's shrink list. These lists are normally empty;
a non-empty list is traversed to remove objects belonging to the cache
being shrunk or destroyed. |
