#web

Cybersecurity researchers have disclosed details of an active phishing campaign that's targeting a wide range of sectors in Russia with phishing emails that deliver Phantom Stealer via malicious ISO optical disc images. The activity, codenamed Operation MoneyMount-ISO by Seqrite Labs, has primarily singled out finance and accounting entities, with those in the procurement, legal, payroll

A flaw has been found in Mayan EDMS up to 4.10.1. The impacted element is an unknown function of the file /authentication/. This manipulation causes open redirect. It is possible to initiate the attack remotely. The exploit has been published and may be used. Upgrading to version 4.10.2 is sufficient to resolve this issue. The affected component should be upgraded. The vendor confirms that this is "[f]ixed in version 4.10.2". Furthermore, that "[b]ackports for older versions in process and will be out as soon as their respective CI pipelines complete."

A vulnerability was detected in Mayan EDMS up to 4.10.1. The affected element is an unknown function of the file /authentication/. The manipulation results in cross site scripting. The attack may be performed from remote. The exploit is now public and may be used. Upgrading to version 4.10.2 is sufficient to fix this issue. Users should upgrade the affected component. The vendor confirms that this is "[f]ixed in version 4.10.2". Furthermore, that "[b]ackports for older versions in process and will be out as soon as their respective CI pipelines complete."

In the last article, we discussed how integrating AI into business-critical systems opens up enterprises to a new set of risks with AI security and AI safety. Rather than reinventing the wheel or relying on fragmented, improvised approaches, organizations should build on established standards and best practices to stay ahead of cybercriminals and other adversaries.To manage these challenges, enterprises need to adopt a formal approach by using a set of frameworks that map AI threats, define controls, and guide responsible adoption. In this article, we’ll explore the evolving AI security and

A vulnerability was found in aizuda snail-job up to 1.6.0. Affected by this vulnerability is the function QLExpressEngine.doEval of the file snail-job-common/snail-job-common-core/src/main/java/com/aizuda/snailjob/common/core/expression/strategy/QLExpressEngine.java. The manipulation results in injection. The attack can be launched remotely. Upgrading to version 1.7.0-beta1 addresses this issue. The patch is identified as 978f316c38b3d68bb74d2489b5e5f721f6675e86. The affected component should be upgraded.

UK's ICO fines LastPass £1.2M for the 2022 data breach that exposed 1.6 million users’ data. Learn how a flaw in an employee's personal PC led to the massive security failure.

The U.S. Cybersecurity and Infrastructure Security Agency (CISA) on Friday added a high-severity flaw impacting Sierra Wireless AirLink ALEOS routers to its Known Exploited Vulnerabilities (KEV) catalog, following reports of active exploitation in the wild. CVE-2018-4063 (CVSS score: 8.8/9.9) refers to an unrestricted file upload vulnerability that could be exploited to achieve remote code

Apple on Friday released security updates for iOS, iPadOS, macOS, tvOS, watchOS, visionOS, and its Safari web browser to address two security flaws that it said have been exploited in the wild, one of which is the same flaw that was patched by Google in Chrome earlier this week. The vulnerabilities are listed below - CVE-2025-43529 (CVSS score: N/A) - A use-after-free vulnerability in WebKit

The Oyster backdoor (also known as Broomstick) is targeting the financial world, using malicious search ads for PuTTY, Teams, and Google Meet.

### Summary Incorrect handling of malformed data in Java-based decompressor implementations for Snappy and LZ4 allows remote attackers to read previous buffer contents via crafted compressed input. In applications where the output buffer is reused without being cleared, this may lead to disclosure of sensitive data. ### Details With certain crafted compressed inputs, elements from the output buffer can end up in the uncompressed output. This is relevant for applications that reuse the same output buffer to uncompress multiple inputs. This can be the case of a web server that allocates a fix-sized buffer for performance purposes. This is similar to [GHSA-cmp6-m4wj-q63q](https://github.com/yawkat/lz4-java/security/advisories/GHSA-cmp6-m4wj-q63q). ### Impact Applications using aircompressor as described above may leak sensitive information to external unauthorized attackers. ### Mitigation The vulnerability is fixed in release 3.4. However, it can be mitigated by either: * Avoiding re...