| CVE |
Vendors |
Products |
Updated |
CVSS v3.1 |
| 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. |
| The WebSocket backend uses charging station identifiers to uniquely associate sessions but allows multiple endpoints to connect using the same session identifier. This implementation results in predictable session identifiers and enables session hijacking or shadowing, where the most recent connection displaces the legitimate charging station and receives backend commands intended for that station. This vulnerability may allow unauthorized users to authenticate as other users or enable a malicious actor to cause a denial-of-service condition by overwhelming the backend with valid session requests. |
| Script injection in UI in Google Chrome prior to 148.0.7778.96 allowed a remote attacker who convinced a user to engage in specific UI gestures to inject arbitrary scripts or HTML (UXSS) via a crafted HTML page. (Chromium security severity: Low) |
| Insufficient validation of untrusted input in Cast in Google Chrome prior to 148.0.7778.96 allowed an attacker on the local network segment to bypass same origin policy via malicious network traffic. (Chromium security severity: Low) |
| Deserialization of untrusted data in Microsoft High Performance Compute Pack (HPC) allows an authorized attacker to elevate privileges locally. |
| Insufficient policy enforcement in Extensions in Google Chrome prior to 148.0.7778.96 allowed a remote attacker who had compromised the renderer process to bypass discretionary access control via a crafted HTML page. (Chromium security severity: Medium) |
| Type Confusion in Accessibility in Google Chrome on Windows prior to 148.0.7778.96 allowed a remote attacker who had compromised the renderer process to potentially perform a sandbox escape via a crafted HTML page. (Chromium security severity: High) |
| Insufficient validation of untrusted input in Media in Google Chrome on Android prior to 148.0.7778.96 allowed a remote attacker who had compromised the renderer process to potentially perform a sandbox escape via a crafted HTML page. (Chromium security severity: High) |
| 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. |
| The WebSocket Application Programming Interface lacks restrictions on the number of authentication requests. This absence of rate limiting may allow an attacker to conduct denial-of-service attacks by suppressing or mis-routing legitimate charger telemetry, or conduct brute-force attacks to gain unauthorized access. |
| 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. |
| Multiple vulnerabilities in the web-based management interface of Cisco Identity Services Engine (ISE) could allow an authenticated, remote attacker to conduct cross-site scripting (XSS) attacks against a user of the interface.
These vulnerabilities are due to insufficient validation of user-supplied input by the web-based management interface of an affected system. An attacker could exploit these vulnerabilities by injecting malicious code into specific pages of the interface. A successful exploit could allow the attacker to execute arbitrary script code in the context of the affected interface or access sensitive, browser-based information. To exploit these vulnerabilities, the attacker must have valid administrative credentials. |
| Multiple vulnerabilities in the web-based management interface of Cisco Identity Services Engine (ISE) could allow an authenticated, remote attacker to conduct cross-site scripting (XSS) attacks against a user of the interface.
These vulnerabilities are due to insufficient validation of user-supplied input by the web-based management interface of an affected system. An attacker could exploit these vulnerabilities by injecting malicious code into specific pages of the interface. A successful exploit could allow the attacker to execute arbitrary script code in the context of the affected interface or access sensitive, browser-based information. To exploit these vulnerabilities, the attacker must have valid administrative credentials. |
| 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. |
