| CVE |
Vendors |
Products |
Updated |
CVSS v3.1 |
| In the Linux kernel, the following vulnerability has been resolved:
firmware: thead: Fix buffer overflow and use standard endian macros
Addresses two issues in the TH1520 AON firmware protocol driver:
1. Fix a potential buffer overflow where the code used unsafe pointer
arithmetic to access the 'mode' field through the 'resource' pointer
with an offset. This was flagged by Smatch static checker as:
"buffer overflow 'data' 2 <= 3"
2. Replace custom RPC_SET_BE* and RPC_GET_BE* macros with standard
kernel endianness conversion macros (cpu_to_be16, etc.) for better
portability and maintainability.
The functionality was re-tested with the GPU power-up sequence,
confirming the GPU powers up correctly and the driver probes
successfully.
[ 12.702370] powervr ffef400000.gpu: [drm] loaded firmware
powervr/rogue_36.52.104.182_v1.fw
[ 12.711043] powervr ffef400000.gpu: [drm] FW version v1.0 (build
6645434 OS)
[ 12.719787] [drm] Initialized powervr 1.0.0 for ffef400000.gpu on
minor 0 |
| This vulnerability exists in Quantum Networks router due to lack of enforcement of strong password policies in the web-based management interface. An attacker on the same network could exploit this vulnerability by performing password guessing or brute-force attacks against user accounts, leading to unauthorized access to the targeted device. |
| A storing passwords in a recoverable format vulnerability in Fortinet FortiSOAR PaaS 7.6.0 through 7.6.4, FortiSOAR PaaS 7.5.0 through 7.5.2, FortiSOAR PaaS 7.4 all versions, FortiSOAR PaaS 7.3 all versions, FortiSOAR on-premise 7.6.0 through 7.6.4, FortiSOAR on-premise 7.5.0 through 7.5.2, FortiSOAR on-premise 7.4 all versions, FortiSOAR on-premise 7.3 all versions may allow an authenticated remote attacker to retrieve passwords for multiple installed connectors via server address modification in connector configuration. |
| A storing passwords in a recoverable format vulnerability in Fortinet FortiSOAR PaaS 7.6.0 through 7.6.4, FortiSOAR PaaS 7.5.0 through 7.5.2, FortiSOAR PaaS 7.4 all versions, FortiSOAR PaaS 7.3 all versions, FortiSOAR on-premise 7.6.0 through 7.6.4, FortiSOAR on-premise 7.5.0 through 7.5.2, FortiSOAR on-premise 7.4 all versions, FortiSOAR on-premise 7.3 all versions may allow an authenticated remote attacker to retrieve Service account password via server address modification in LDAP configuration. |
| The Log4j1XmlLayout from the Apache Log4j 1-to-Log4j 2 bridge fails to escape characters forbidden by the XML 1.0 standard, producing malformed XML output. Conforming XML parsers are required to reject documents containing such characters with a fatal error, which may cause downstream log processing systems to drop or fail to index affected records.
Two groups of users are affected:
* Those using Log4j1XmlLayout directly in a Log4j Core 2 configuration file.
* Those using the Log4j 1 configuration compatibility layer with org.apache.log4j.xml.XMLLayout specified as the layout class.
Users are advised to upgrade to Apache Log4j 1-to-Log4j 2 bridge version 2.25.4, which corrects this issue.
Note: The Apache Log4j 1-to-Log4j 2 bridge is deprecated and will not be present in Log4j 3. Users are encouraged to consult the Log4j 1 to Log4j 2 migration guide https://logging.apache.org/log4j/2.x/migrate-from-log4j1.html , and specifically the section on eliminating reliance on the bridge. |
| Deserialization of untrusted data in Microsoft High Performance Compute Pack (HPC) allows an authorized attacker to elevate privileges locally. |
| This vulnerability exists in Quantum Networks router due to missing rate limiting and CAPTCHA protection for failed login attempts in the web-based management interface. An attacker on the same network could exploit this vulnerability by performing brute force attacks against administrative credentials, leading to unauthorized access with root privileges on the targeted device. |
| This vulnerability exists in Quantum Networks router due to inadequate sanitization of user-supplied input in the management CLI interface. An authenticated remote attacker could exploit this vulnerability by injecting arbitrary OS commands on the targeted device.
Successful exploitation of this vulnerability could allow the attacker to perform remote code execution with root privileges on the targeted device. |
| A vulnerability was determined in D-Link M60 up to 1.20B02. Affected by this issue is some unknown functionality of the file /usr/bin/httpd. This manipulation causes weak password recovery. The attack can be initiated remotely. A high degree of complexity is needed for the attack. The exploitation is known to be difficult. The exploit has been publicly disclosed and may be utilized. |
| OOM Denial of Service via Unbounded Array Allocation in Apache OpenNLP AbstractModelReader
Versions Affected:
before 2.5.9
before 3.0.0-M3
Description:
The AbstractModelReader methods getOutcomes(), getOutcomePatterns(), and getPredicates() each read a 32-bit signed integer count field from a binary model stream and pass that value directly to an array allocation (new String[numOutcomes], new int[numOCTypes][], new String[NUM_PREDS]) without validating that the value is non-negative or within a reasonable bound. The count is therefore fully attacker-controlled when the model file originates from an untrusted source.
A crafted .bin model file in which any of these count fields is set to Integer.MAX_VALUE (or any value large enough to exhaust the available heap) triggers an OutOfMemoryError at the array allocation itself, before the corresponding label or pattern data is consumed from the stream. The error occurs very early in deserialization: for a GIS model, getOutcomes() is reached after only the model-type string, the correction constant, and the correction parameter have been read; so the attacker pays no meaningful size cost to weaponize a payload, and a single small file can crash a JVM that loads it. Any code path that deserializes a .bin model is affected, including direct use of GenericModelReader and any higher-level component that delegates to it during model load.
The practical impact is denial of service against processes that load model files from untrusted or semi-trusted origins.
Mitigation:
* 2.x users should upgrade to 2.5.9.
* 3.x users should upgrade to 3.0.0-M3.
Note: The fix introduces an upper bound on each of the three count fields, checked before array allocation; counts that are negative or exceed the bound cause an IllegalArgumentException to be thrown and the read to fail fast with no large allocation. The default bound is 10,000,000, which is well above the entry counts of legitimate OpenNLP models but far below any value that would threaten heap exhaustion. Deployments that legitimately need to load models with more entries than the default can raise the limit at JVM startup by setting the OPENNLP_MAX_ENTRIES system property to the desired positive integer (e.g. -DOPENNLP_MAX_ENTRIES=50000000); invalid or non-positive values fall back to the default.
Users who cannot upgrade immediately should treat all .bin model files as untrusted input unless their provenance is verified, and should avoid loading models supplied by end users or fetched from third-party repositories without integrity checks. |
| n8n is an open source workflow automation platform. Prior to versions 1.123.33 and 2.17.5, the dynamic-node-parameters endpoints did not verify whether the authenticated caller was authorized to use a supplied credential reference. An authenticated user with access to a shared workflow could supply a foreign credential ID in the request body, causing the backend to decrypt and use that credential in a helper execution path where the caller also controls the destination URL. This allowed the caller to force the backend to authenticate against attacker-controlled infrastructure using a credential belonging to another user, effectively exfiltrating a reusable API key. The issue is not limited to any single node type; any node that resolves credentials dynamically through these endpoints may be affected. This issue has been patched in versions 1.123.33, 2.17.5, and 2.18.0. |
| n8n is an open source workflow automation platform. Prior to versions 1.123.32, 2.17.4, and 2.18.1, an authenticated user with a valid API key scoped to variable:list could read variables from projects they are not a member of by supplying an arbitrary projectId query parameter to the public API variables endpoint. The handler queried the variables repository directly without enforcing project membership checks, bypassing the authorization-aware service layer used by the internal enterprise controller. If variables were misused to store sensitive information such as credentials or tokens, they should be rotated immediately. This issue only affects licensed enterprise or team deployments with multiple projects and the variables feature enabled. This issue has been patched in versions 1.123.32, 2.17.4, and 2.18.1. |
| n8n is an open source workflow automation platform. Prior to versions 1.123.32, 2.17.4, and 2.18.1, the /chat WebSocket endpoint used by the Chat Trigger node's Hosted Chat feature did not verify that an incoming connection was authorized to interact with the target execution. An unauthenticated remote attacker who could identify a valid execution ID for a workflow in a waiting state could attach to that execution, receive the pending prompt intended for the legitimate user, and submit arbitrary input to resume or influence downstream workflow behavior. This issue has been patched in versions 1.123.32, 2.17.4, and 2.18.1. |
| n8n is an open source workflow automation platform. Prior to versions 1.123.32, 2.17.4, and 2.18.1, a flaw in the Oracle Database node's select operation allowed user-controlled input passed into the Limit field via expressions to be interpolated directly into the SQL query without sanitization or parameterization. In workflows where external input is passed into the Limit field (e.g., from a webhook), an attacker could inject arbitrary SQL and exfiltrate data from the connected Oracle database. This issue has been patched in versions 1.123.32, 2.17.4, and 2.18.1. |
| n8n is an open source workflow automation platform. Prior to versions 1.123.32, 2.17.4, and 2.18.1, an authenticated user with permission to create or modify workflows containing a Python Code Node could escape the sandbox and achieve arbitrary code execution on the task runner container. This issue only affects instances where the Python Task Runner is enabled. This issue has been patched in versions 1.123.32, 2.17.4, and 2.18.1. |
| n8n is an open source workflow automation platform. Prior to versions 1.123.32, 2.17.4, and 2.18.1, an unauthenticated attacker could register a malicious MCP OAuth client with a crafted client_name. If a victim user authorized the OAuth consent dialog and a second user subsequently revoked that access, a toast notification would render the injected script. Clicking the link would execute arbitrary JavaScript in the victim's authenticated n8n browser session, enabling credential and session token theft, workflow manipulation, or privilege escalation. This issue has been patched in versions 1.123.32, 2.17.4, and 2.18.1. |
| Improper Validation of Certificate with Host Mismatch vulnerability in Apache Thrift.
This issue affects Apache Thrift: before 0.23.0.
Users are recommended to upgrade to version 0.23.0, which fixes the issue. |
| Memory Allocation with Excessive Size Value vulnerability in Apache Thrift.
This issue affects Apache Thrift: before 0.23.0.
Users are recommended to upgrade to version 0.23.0, which fixes the issue. |
| Origin Validation Error, Improper Limitation of a Pathname to a Restricted Directory ('Path Traversal'), Improper Neutralization of CRLF Sequences in HTTP Headers ('HTTP Request/Response Splitting'), Uncontrolled Resource Consumption vulnerability in Apache Thrift.
This issue affects Apache Thrift: before 0.23.0.
Users are recommended to upgrade to version 0.23.0, which fixes the issue. |
| Improper neutralization of input during web page generation ('cross-site scripting') in Microsoft Office SharePoint allows an authorized attacker to perform spoofing over a network. |
