| CVE |
Vendors |
Products |
Updated |
CVSS v3.1 |
| In the Linux kernel, the following vulnerability has been resolved:
scsi: mpi3mr: Fix target device refcount leak in mpi3mr_sas_port_add()
mpi3mr_get_tgtdev_by_addr() increments the target device kref when it
returns a device. If a subsequent error triggers a goto out_fail after
the tgtdev reference is acquired, the reference is never released
because the out_fail path does not call mpi3mr_tgtdev_put(). This
prevents the target device structure from ever being freed.
Add a tgtdev put in the out_fail path, guarded by a NULL check since
tgtdev is only acquired for SAS_END_DEVICE types and the same cleanup
path is shared by earlier error cases where tgtdev is still NULL. |
| Uncontrolled Resource Consumption vulnerability in Apache IoTDB JDBC driver.
This issue affects Apache IoTDB JDBC driver: from 1.3.3 before 2.0.11.
Users are recommended to upgrade to version 2.0.11, which fixes the issue. |
| Apache bRPC versions before 1.18.0 do not consistently enforce the configured max_body_size limit in non-progressive HTTP/1 and HTTP/2 parsing and in memcache and couchbase response parsing.
A remote unauthenticated peer can cause an affected process to buffer message data beyond the configured limit, which may lead to memory exhaustion and denial of service.
Users should upgrade to 1.18.0 or apply the patch from PR https://github.com/apache/brpc/pull/3382 . The fix rejects oversized buffered HTTP bodies, returns HTTP 413 for HTTP/1 requests, resets oversized HTTP/2 streams, and rejects oversized memcache and couchbase responses from their declared lengths. Progressive HTTP reading remains supported because it uses bounded buffering. |
| Uncontrolled resource consumption in the HTTP/2 (h2) receive path of Apache bRPC (version < 1.18.0) on all platforms allows a remote unauthenticated attacker to crash the server or grow its memory without bound by sending crafted HTTP/2 frames.
Root Cause:
The h2 parser, enabled by default on every bRPC server port and used by h2/gRPC clients, trusts the peer to respect receive-side limits that bRPC advertises but never enforces:
1. SETTINGS_MAX_CONCURRENT_STREAMS defaulted to unlimited and was never checked on the server, letting a peer pin an unbounded number of pending streams per connection (~100x memory amplification).
2. SETTINGS_MAX_HEADER_LIST_SIZE defaulted to unlimited and was never enforced; 1-byte HPACK indexed references amplify a small HEADERS frame ~4000x into an unbounded decoded header list ("HPACK bomb"), and a never-completed HEADERS/CONTINUATION block accumulates memory without limit.
3. Control-frame acks (PING/SETTINGS acks, RST_STREAM, GOAWAY, WINDOW_UPDATE) unconditionally bypassed the -socket_max_unwritten_bytes write cap, so a PING flood combined with withheld TCP reads grew the connection buffer without the documented bound.
4. The HPACK dynamic table size update was validated against the protocol default (4096) instead of the advertised SETTINGS_HEADER_TABLE_SIZE, which together with the dynamic-table queue/accounting issue can desynchronize the decoder and dereference NULL (crash).
Affected scenarios:
Any bRPC server serving HTTP/h2/gRPC to an untrusted network, and any bRPC h2/gRPC client connecting to an untrusted backend. The h2 parser runs before any Authenticator check on the shared port.
How to fix:
Upgrade bRPC, or apply the patch in https://github.com/apache/brpc/pull/3474.
Note:
After applying the fix the following limits are enforced by default:
- max_concurrent_streams: 1024 per connection (4294967295 restores unlimited).
- max_header_list_size: 1 MiB decoded size per stream (4294967295 restores unlimited; -h2_client_max_header_list_size for clients).
- h2 control-frame acks respect -socket_max_unwritten_bytes (-h2_ack_ignore_eovercrowded restores the old behavior).
Requests exceeding these limits are rejected (RST_STREAM(REFUSED_STREAM) or a connection error). |
| Uncontrolled resource consumption in the streaming RPC component of Apache bRPC (version < 1.18.0) allows a remote attacker to exhaust server memory and cause denial of service by sending a single RPC request that declares an excessive number of streams.
Root Cause:
In the streaming RPC feature, a client can declare multiple streams in one RPC request by putting extra stream identifiers into the repeated field `stream_settings.extra_stream_ids` of the RPC meta. On the server side, `StreamAccept` creates one response stream for every stream identifier declared by the request, without limiting the number of streams accepted in a single RPC. The request body size is only bounded by `max_body_size` (default 64MB), which is enough to carry millions of stream identifiers. Each accepted stream allocates its own bthread execution queue and associated resources, so a single crafted request can make the server create a huge number of streams and exhaust memory, leading to denial of service.
Affected Scenarios:
Use a bRPC server that serves streaming RPC and calls `StreamAccept` to accept streams from untrusted clients.
How to Fix:
(Choose one of the following options)
1. Upgrade bRPC to the 1.18.0 version.
2. Apply this patch: https://github.com/apache/brpc/pull/3493
Note:
The fix adds a new gflag `stream_max_streams_per_request` with a default value of 64. Requests declaring more streams than the limit are rejected before any response stream is created. Applications that legitimately need to accept more than 64 streams in one RPC must raise this flag; otherwise such requests will fail after applying the fix. |
| External control of file name or path and uncontrolled resource consumption in Apache bRPC (version < 1.18.0) on all platforms allows remote attackers who can reach the builtin service port to create directories and truncate/overwrite files with the privileges of the server process, or to hold the process-wide CPU/contention profiler for an arbitrarily long time.
Root Cause:
1. The builtin /flags service allows gflags carrying a validator to be modified at runtime via ?setvalue=. The bvar/mbvar dump path gflags (bvar_dump_file, bvar_dump_tabs, mbvar_dump_file) were registered with an accept-anything validator whose only purpose was to wake the dumping thread. A remote attacker could therefore repoint the dump path (e.g. GET /flags/bvar_dump_file?setvalue=/victim/dir/target followed by GET /flags/bvar_dump?setvalue=true, or the equivalent for mbvar_dump_file, which is used verbatim without a forced suffix), making the dumping thread recursively create directories and open/truncate files at attacker-chosen locations. Tab names in bvar_dump_tabs were appended to the path without sanitization, allowing '..' to escape the configured directory.
2. The /pprof builtin service did not clamp the ?seconds= parameter to FLAGS_max_profiling_seconds (a limit that /hotspots enforced). A single request such as ?seconds=2147483647 made the handler sleep for decades while holding the process-wide gperftools CPU profiler or bthread contention profiler, so /hotspots/cpu and /hotspots/contention returned 503 for everyone else during that time.
Affected Scenarios:
Any Apache bRPC server exposing the builtin services (enabled by default on the same port as normal RPC traffic) to untrusted networks.
How to Fix:
(Choose one of the following options)
1. Upgrade bRPC to version 1.18.0, which fixes this issue.
2. Apply this patch: https://github.com/apache/brpc/pull/3523
Note:
After the fix, bvar_dump_file, bvar_dump_tabs and mbvar_dump_file can no longer be modified at runtime through the /flags builtin service. They can still be changed programmatically via google::SetCommandLineOption(), taking effect on the next dump cycle. The profiling duration of /pprof is now capped by the -max_profiling_seconds gflag (default 300 seconds), which can be adjusted by the server owner. |
| Multiple Cisco products are affected by a vulnerability in the memory management implementation of Snort 3 that could allow an unauthenticated, remote attacker to cause the Snort 3 Detection Engine to restart, resulting in an interruption of packet inspection.
This vulnerability is due to incomplete error checking when Snort 3 processes files, which could cause unreleased memory. An attacker could exploit this vulnerability by sending a large number of files to be processed. A successful exploit could allow the attacker to cause the Snort 3 Detection Engine to restart unexpectedly, resulting in a DoS condition. |
| In Splunk Enterprise versions below 10.4.4, 10.2.8, and 10.0.11, an unauthenticated user could send repeated requests to the Edge Processor package download endpoint in the Splunk Pipeline Builders app. The requests could cause the Splunk daemon to consume excessive system resources and potentially stop responding.
The vulnerability is possible because the endpoint accepts package download requests without authentication and reads and base64-encodes the complete package in memory for each request.
After upgrading, prepare all existing Edge Processor instances, turn on authentication for Edge Processor package downloads, and restart Splunk Enterprise. For more information, see Enable authentication for Edge Processor package downloads (https://help.splunk.com/en/data-management/process-data-at-the-edge/use-edge-processors-for-splunk-enterprise/10.4/administer-edge-processors/enable-authentication-for-edge-processor-package-downloads). |
| In Splunk Enterprise versions below 10.4.4, 10.2.8, 10.0.11, and 9.4.16, an unauthenticated user could send a single crafted request to the Splunk Web JavaScript logger endpoint and cause Splunk Web to stop responding to requests. Splunk Web remains unavailable until Splunk Enterprise is restarted.
The vulnerability is possible because Splunk Web does not limit request-header parsing before processing the request. |
| A vulnerability in Cerberus FTP Server allows an authenticated remote attacker to perform UNC path injection via a manipulated parameter. By supplying a malicious SMB share path, an attacker can execute authentication coercion against the underlying server, resulting in the leakage of the Cerberus service account's Net-NTLMv2 hash. This issue has been resolved in Cerberus FTP Server: 2026.3.0. |
| VaadinService.requestEnd() in Vaadin Framework 8 locks the session and then reads the v-uiId request parameter outside the block that releases the lock. A request carrying a non-numeric v-uiId makes Integer.parseInt throw while the session lock is held, so the lock is never released and the container thread returns to its pool still owning it. Every later request to that session then blocks forever in VaadinService.lockSession(), and repeating the request exhausts the thread pool and takes the application down. No authentication is required: a session cookie, which any client obtains with a single request, is enough. Vaadin 10 and later are not affected, because Flow releases the lock in a finally block and does not read that parameter there, and Vaadin Framework 7 is not affected either.
Users of affected versions should apply the following mitigation or upgrade. Releases that have fixed this issue include:
Product version
Vaadin Framework 8.16.0 - 8.32.1
Mitigation
Upgrade to 8.32.2
Vaadin Framework 7 and Vaadin 10 and later do not carry this behaviour and need no upgrade for this issue.
Artifacts
Maven coordinates / Vulnerable versions / Fixed version
com.vaadin:vaadin-server / 8.16.0 - 8.32.1 / >=8.32.2
com.vaadin:vaadin-server-mpr-jakarta / 8.18.0 - 8.32.1 / >=8.32.2 |
| Django REST framework is a toolkit for building Web APIs. From 3.6.4 until 3.18.2, JSONParser.parse in rest_framework/parsers.py uses the client-supplied Content-Type charset value with codecs.getreader, which accepts byte-transform codecs such as bz2_codec rather than only text encodings. A remote unauthenticated client can therefore cause a compressed JSON request body to be expanded after Django has enforced DATA_UPLOAD_MAX_MEMORY_SIZE against only the wire bytes, allowing a very small request to consume substantial per-worker memory. The default parser set is sufficient, and any reachable endpoint that accepts a JSON body is affected. This issue is fixed in version 3.18.2. |
| Django REST framework is a toolkit for building Web APIs. Prior to 3.18.2, DefaultContentNegotiation.get_accept_list in rest_framework/negotiation.py accepts an unbounded number and aggregate size of Accept tokens, while select_renderer in that file repeatedly invokes _MediaType parsing from rest_framework/utils/mediatypes.py for each attacker-controlled token, every renderer, and forced 406 renegotiation. A remote unauthenticated client can send many distinct media types containing large quoted parameter values with numerous semicolons, causing Django's parameter parser and DRF's repeated parsing structure to consume disproportionate CPU. Requests to any reachable endpoint can pin synchronous workers for prolonged periods, and concurrent requests can make the service unavailable until the requests stop. This issue is fixed in version 3.18.2. |
| toml-node is a TOML parser for Node.js and the browser. Prior to 5.0.1, toml.parse() passes unbounded hexadecimal, octal, binary, and decimal digit sequences from lib/parser.js to BigInt() before reduceInteger() in lib/compiler.js checks whether the resulting value fits the TOML 64-bit integer range. Converting a sufficiently long integer string consumes super-linear CPU time and synchronously blocks the Node.js event loop, allowing one attacker-supplied TOML document to deny service to concurrent work in the process. The later range check cannot prevent the conversion cost because it executes after BigInt(). This issue is fixed in version 5.0.1. |
| vLLM from 0.7.3 before 0.31.0 contains an uncontrolled resource consumption vulnerability that allows remote clients to control multimodal processor parameters by supplying per-request mm_processor_kwargs. Attackers can set large image size, patch count, crop count, or frame count values in Isaac, InternVL, H2OVL, and other processors to exhaust memory and terminate the shared server. |
| Vulnerability in Oracle Secure Backup (component: Backup and Restore). Supported versions that are affected are 19.1.0.0.0 and 19.1.0.1.0. Easily exploitable vulnerability allows unauthenticated attacker with network access via TCP to compromise Oracle Secure Backup. While the vulnerability is in Oracle Secure Backup, attacks may significantly impact additional products (scope change). Successful attacks of this vulnerability can result in unauthorized ability to cause a hang or frequently repeatable crash (complete DOS) of Oracle Secure Backup. CVSS 3.1 Base Score 8.6 (Availability impacts). CVSS Vector: (CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:N/I:N/A:H). |
| Vulnerability in the PeopleSoft Enterprise PeopleTools product of Oracle PeopleSoft (component: Meta Data). Supported versions that are affected are 8.61-8.63. Easily exploitable vulnerability allows high privileged attacker with network access via HTTP to compromise PeopleSoft Enterprise PeopleTools. Successful attacks of this vulnerability can result in unauthorized access to critical data or complete access to all PeopleSoft Enterprise PeopleTools accessible data and unauthorized ability to cause a hang or frequently repeatable crash (complete DOS) of PeopleSoft Enterprise PeopleTools. CVSS 3.1 Base Score 6.5 (Confidentiality and Availability impacts). CVSS Vector: (CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:H/I:N/A:H). |
| 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. |
| pypdf is a free and open-source pure-python PDF library. Prior to 6.21.0, an attacker can craft a PDF containing a content stream with many small operations, causing parsing to consume large amounts of memory. This issue is fixed in version 6.21.0. |
| pypdf is a free and open-source pure-python PDF library. Prior to 6.20.0, accessing a crafted PDF stream with a large number of filters or multiple filters that pass around large amounts of data can cause large memory consumption. This issue is fixed in version 6.20.0. |
