20956 matches found
CVE-2025-64168 Agno session state overwrites between different sessions/users
Agno is a multi-agent framework, runtime and control plane. From 2.0.0 to before 2.2.2, under high concurrency, when sessionstate is passed to Agent or Team during run or arun calls, a race condition can occur, causing a sessionstate to be assigned and persisted to the incorrect session. This may...
CVE-2025-64168
Summary: CVE-2025-64168 affects Agno (multi-agent framework) from 2.0.0 to before 2.2.2. Under high concurrency, when session_state is passed to an Agent or Team during run or arun calls, a race condition can assign a session_state to the wrong session, potentially exposing user data across sessi...
CVE-2025-64168 Agno session state overwrites between different sessions/users
Agno is a multi-agent framework, runtime and control plane. From 2.0.0 to before 2.2.2, under high concurrency, when sessionstate is passed to Agent or Team during run or arun calls, a race condition can occur, causing a sessionstate to be assigned and persisted to the incorrect session. This may...
CVE-2025-64168 Agno session state overwrites between different sessions/users
Agno is a multi-agent framework, runtime and control plane. From 2.0.0 to before 2.2.2, under high concurrency, when sessionstate is passed to Agent or Team during run or arun calls, a race condition can occur, causing a sessionstate to be assigned and persisted to the incorrect session. This may...
CVE-2025-64389 EXCHANGE OF SENSITIVE INFORMATION IN CLEAR TEXT
The web server of the device performs exchanges of sensitive information in clear text through an insecure protocol...
EUVD-2025-37341
Insertion of Sensitive Information Into Sent Data vulnerability in Rank Math SEO Rank Math SEO seo-by-rank-math allows Retrieve Embedded Sensitive Data.This issue affects Rank Math SEO: from n/a through = 1.0.252.1...
CVE-2025-64351 WordPress Rank Math SEO plugin <= 1.0.252.1 - Sensitive Data Exposure vulnerability
Insertion of Sensitive Information Into Sent Data vulnerability in Rank Math SEO Rank Math SEO seo-by-rank-math allows Retrieve Embedded Sensitive Data.This issue affects Rank Math SEO: from n/a through = 1.0.252.1...
CVE-2025-64351 WordPress Rank Math SEO plugin <= 1.0.252.1 - Sensitive Data Exposure vulnerability
Insertion of Sensitive Information Into Sent Data vulnerability in Rank Math SEO Rank Math SEO seo-by-rank-math allows Retrieve Embedded Sensitive Data.This issue affects Rank Math SEO: from n/a through = 1.0.252.1...
CVE-2025-64351
The CVE-2025-64351 entry concerns the WordPress Rank Math SEO plugin (
CVE-2025-40603
A potential exposure of sensitive information in log files in SonicWall SMA100 Series appliances may allow a remote, authenticated administrator, under certain conditions to view partial users credential data...
CVE-2025-40603
SonicWall SMA100 Series appliances (specifically models SMA 210, 410, and 500v ) are vulnerable to a potential exposure of sensitive information within log files . Under certain conditions, a remote, authenticated administrator may be able to view partial user credential data . While no active ex...
CVE-2025-40603
A potential exposure of sensitive information in log files in SonicWall SMA100 Series appliances may allow a remote, authenticated administrator, under certain conditions to view partial users credential data...
CVE-2025-30191
Malicious content from E-Mail can be used to perform a redressing attack. Users can be tricked to perform unintended actions or provide sensitive information to a third party which would enable further threats. Attribute values containing HTML fragments are now denied by the sanitization procedur...
CVE-2025-62232 Apache APISIX: basic-auth logs plaintext credentials at info level
Sensitive data exposure via logging in basic-auth leads to plaintext usernames and passwords written to error logs and forwarded to log sinks when log level is INFO/DEBUG. This creates a high risk of credential compromise through log access. It has been fixed in the following commit: ...
WordPress Analytify Pro plugin <= 7.0.3 - Unauthenticated Information Exposure vulnerability
Unauthenticated Information Exposure vulnerability discovered by WPBrigade Support in WordPress Plugin Analytify Pro versions = 7.0.3...
CVE-2025-61119
Kanova Android App version 1.0.27 package name com.karelane, developed by Karely L.L.C., contains improper access control vulnerabilities. Attackers may gain unauthorized access to user details and obtain group information, including entry codes, by manipulating API request parameters. Successful...
The vulnerability of the nfs_readreply function in the net/nfs.c component of the U-Boot loader allows a hacker to gain access to confidential data, compromise its integrity, and cause service failure.
The vulnerability of the nfsreadreply function in the net/nfs.c component of the U-Boot loader is related to writing beyond the buffer boundaries. Exploiting this vulnerability allows an attacker to gain access to confidential data, compromise its integrity, and cause service failures...
The vulnerability of the nfs_readreply function in the net/nfs.c component of the U-Boot loader allows a hacker to gain access to confidential data and also cause a service failure.
The vulnerability of the nfsreadreply function in the net/nfs.c component of the U-Boot loader is related to reading data beyond the allowable buffer size. Exploiting this vulnerability allows an attacker to gain access to confidential data and also cause service failures...
The vulnerability of the nfs_lookupreply function in the net/nfs.c component of the U-Boot loader allows a hacker to gain access to confidential data, compromise its integrity, and cause service failure.
The vulnerability of the nfslookupreply function in the net/nfs.c component of the U-Boot loader is related to buffer overflow attacks. Exploiting this vulnerability allows an attacker to gain access to confidential data, compromise its integrity, and cause service failures...
Prevalence of Security and Privacy Risk-Inducing Usage of AI-Based Conversational Agents
Recent improvement gains in large language models LLMs have lead to everyday usage of AI-based Conversational Agents CAs. At the same time, LLMs are vulnerable to an array of threats, including jailbreaks and, for example, causing remote code execution when fed specific inputs. As a result, users...