Search
lenovo warranty check/lookup | check warranty status | lenovo support us
Found 10000 results in 84 ms.
It was found that the fix to address CVE-2021-44228 in Apache Log4j 2.15.0 was incomplete in certain non-default configurations. This could allows attackers with control over Thread Context Map (MDC) input data when the logging configuration uses a non-default Pattern Layout with either a Context Lookup (for example, $${ctx:loginId}) or a Thread Context Map pattern (%X, %mdc, or %MDC) to craft malicious input data using a JNDI Lookup pattern resulting in an information leak and remote code execution in some environments and local code execution in all environments. Log4j 2.16.0 (Java 8) and 2.12.2 (Java 7) fix this issue by removing support for message lookup patterns and disabling JNDI functionality by default.
This external control of file name or path vulnerability allows remote attackers to access or modify system files. To fix the vulnerability, QNAP recommend updating Photo Station to their latest versions.
The System Dashboard plugin for WordPress is vulnerable to unauthorized access of data due to a missing capability check on the sd_global_value() function hooked via an AJAX action in all versions up to, and including, 2.8.7. This makes it possible for authenticated attackers, with subscriber-level access and above, to retrieve sensitive global value information.
The System Dashboard plugin for WordPress is vulnerable to unauthorized access of data due to a missing capability check on the sd_db_specs() function hooked via an AJAX action in all versions up to, and including, 2.8.7. This makes it possible for authenticated attackers, with subscriber-level access and above, to retrieve data key specs.
By Owais Sultan Businesses across the United States are using web scraping, or web data collection, infrastructure as a first line… This is a post from HackRead.com Read the original post: How web data is leading US cybersecurity to unreached possibilities
A vulnerability in the implementation of the Datagram TLS (DTLS) protocol in Cisco Adaptive Security Appliance (ASA) Software and Cisco Firepower Threat Defense (FTD) Software could allow an unauthenticated, remote attacker to cause high CPU utilization, resulting in a denial of service (DoS) condition. This vulnerability is due to suboptimal processing that occurs when establishing a DTLS tunnel as part of an AnyConnect SSL VPN connection. An attacker could exploit this vulnerability by sending a steady stream of crafted DTLS traffic to an affected device. A successful exploit could allow the attacker to exhaust resources on the affected VPN headend device. This could cause existing DTLS tunnels to stop passing traffic and prevent new DTLS tunnels from establishing, resulting in a DoS condition. Note: When the attack traffic stops, the device recovers gracefully.
Certain HP DesignJet products may be vulnerable to unauthenticated HTTP requests which allow viewing and downloading of print job previews.
Nextcloud server is a self hosted system designed to provide cloud style services. In affected versions the User Status API did not consider the user enumeration settings by the administrator. This allowed a user to enumerate other users on the instance, even when user listings where disabled. It is recommended that the Nextcloud Server is upgraded to 20.0.14, 21.0.6 or 22.2.1. There are no known workarounds.
IronKey Vault Privacy 80 External SSD safeguards against brute-force attacks and BadUSB with digitally-signed firmware.
Tensorflow is an Open Source Machine Learning Framework. The `GraphDef` format in TensorFlow does not allow self recursive functions. The runtime assumes that this invariant is satisfied. However, a `GraphDef` containing a fragment such as the following can be consumed when loading a `SavedModel`. This would result in a stack overflow during execution as resolving each `NodeDef` means resolving the function itself and its nodes. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.