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Cisco has released software fixes to address a maximum-severity security flaw in its IOS XE Wireless Controller that could enable an unauthenticated, remote attacker to upload arbitrary files to a susceptible system. The vulnerability, tracked as CVE-2025-20188 , has been rated 10.0 on the CVSS scoring system. "This vulnerability is due to the presence of a hard-coded JSON Web Token (JWT) on an affected system," the company said in a Wednesday advisory. "An attacker could exploit this vulnerability by sending crafted HTTPS requests to the AP image download interface. A successful exploit could allow the attacker to upload files, perform path traversal, and execute arbitrary commands with root privileges." That said, in order for the exploitation to be successful, the Out-of-Band AP Image Download feature must be enabled on the device. It's disabled by default. The following products are affected, if they have a vulnerable release running and have the Ou...

Security Operations Center (SOC) teams are facing a fundamentally new challenge — traditional cybersecurity tools are failing to detect advanced adversaries who have become experts at evading endpoint-based defenses and signature-based detection systems. The reality of these "invisible intruders" is driving a significant need for a multi-layered approach to detecting threats, including Network Detection and Response (NDR) solutions.  The invisible intruder problem Imagine your network has been compromised — not today or yesterday, but months ago. Despite your significant investments in security tools running 24/7, an advanced adversary has been quietly moving through your systems, carefully avoiding detection. They've stolen credentials, established backdoors, and exfiltrated sensitive data, all while your dashboards showed nothing but green. This scenario is not hypothetical. The average dwell time for attackers — the period between initial compro...

For over a decade, application security teams have faced a brutal irony: the more advanced the detection tools became, the less useful their results proved to be. As alerts from static analysis tools, scanners, and CVE databases surged, the promise of better security grew more distant. In its place, a new reality took hold—one defined by alert fatigue and overwhelmed teams. According to OX Security's 2025 Application Security Benchmark Report , a staggering 95–98% of AppSec alerts do not require action - and may, in fact, be harming organizations more than helping. Our research, spanning over 101 million security findings across 178 organizations, shines a spotlight on a fundamental inefficiency in modern AppSec operations. Of nearly 570,000 average alerts per organization, just 202 represented true, critical issues. It's a startling conclusion that's hard to ignore: security teams are chasing shadows, wasting time, burning through budgets, and straining relations wit...

Find out how Reco keeps Microsoft 365 Copilot safe by spotting risky prompts, protecting data, managing user access, and identifying threats - all while keeping productivity high. Microsoft 365 Copilot promises to boost productivity by turning natural language prompts into actions. Employees can generate reports, comb through data, or get instant answers just by asking Copilot.  However, alongside this convenience comes serious security concerns. Copilot operates across a company's SaaS apps (from SharePoint to Teams and beyond), which means a careless prompt or a compromised user account could expose troves of sensitive information.  Security experts warn that organizations shouldn't assume default settings will keep them safe. Without proactive controls, every file in your organization could be accessible via Copilot. A malicious actor might use Copilot to discover and exfiltrate confidential data without having to manually search through systems. With the right prom...

Your employees didn't mean to expose sensitive data. They just wanted to move faster. So they used ChatGPT to summarize a deal. Uploaded a spreadsheet to an AI-enhanced tool. Integrated a chatbot into Salesforce. No big deal—until it is. If this sounds familiar, you're not alone. Most security teams are already behind in detecting how AI tools are quietly reshaping their SaaS environments. And by the time an alert is triggered—if it even exists—damage may already be done. This Isn't a Hypothetical Problem. It's Happening Now. AI adoption inside organizations is no longer strategic. It's spontaneous. Employees are experimenting, connecting, automating—and bypassing security while doing it. AI systems are becoming embedded in your SaaS stack without visibility or oversight. And it's creating a new class of shadow integrations—ones that don't show up in traditional threat models. If your current defenses rely on manual tracking, policy enforcement, or user education alone, you'r...

Intro: Why hack in when you can log in? SaaS applications are the backbone of modern organizations, powering productivity and operational efficiency. But every new app introduces critical security risks through app integrations and multiple users, creating easy access points for threat actors. As a result, SaaS breaches have increased, and according to a May 2024 XM Cyber report, identity and credential misconfigurations caused 80% of security exposures. Subtle signs of a compromise get lost in the noise, and then multi-stage attacks unfold undetected due to siloed solutions. Think of an account takeover in Entra ID, then privilege escalation in GitHub, along with data exfiltration from Slack. Each seems unrelated when viewed in isolation, but in a connected timeline of events, it's a dangerous breach. Wing Security's SaaS platform is a multi-layered solution that combines posture management with real-time identity threat detection and response. This allows organizations to get a ...

AI is changing cybersecurity faster than many defenders realize. Attackers are already using AI to automate reconnaissance, generate sophisticated phishing lures, and exploit vulnerabilities before security teams can react. Meanwhile, defenders are overwhelmed by massive amounts of data and alerts, struggling to process information quickly enough to identify real threats. AI offers a way to level the playing field, but only if security professionals learn to apply it effectively. Organizations are beginning to integrate AI into security workflows, from digital forensics to vulnerability assessments and endpoint detection. AI allows security teams to ingest and analyze more data than ever before, transforming traditional security tools into powerful intelligence engines. AI has already demonstrated its ability to accelerate investigations and uncover unknown attack paths, but many companies are hesitant to fully embrace it. Many AI models are implemented with such velocity that they r...

Security Operations Centers (SOCs) today face unprecedented alert volumes and increasingly sophisticated threats. Triaging and investigating these alerts are costly, cumbersome, and increases analyst fatigue, burnout, and attrition. While artificial intelligence has emerged as a go-to solution, the term "AI" often blurs crucial distinctions. Not all AI is built equal, especially in the SOC. Many existing solutions are assistant-based, requiring constant human input, while a new wave of autonomous, Agentic AI has the potential to fundamentally transform security operations. This article examines Agentic AI (sometimes also known as Agentic Security ), contrasts it with traditional assistant-based AI (commonly known as Copilots), and explains its operational and economic impacts on modern SOCs. We'll also explore practical considerations for security leaders evaluating Agentic AI solutions. Agentic AI vs. Assistant AI (aka Copilots): Clarifying the Difference Agentic AI is defined by ...

Cybersecurity researchers have discovered an updated version of a malware loader called Hijack Loader that implements new features to evade detection and establish persistence on compromised systems. "Hijack Loader released a new module that implements call stack spoofing to hide the origin of function calls (e.g., API and system calls)," Zscaler ThreatLabz researcher Muhammed Irfan V A said in an analysis. "Hijack Loader added a new module to perform anti-VM checks to detect malware analysis environments and sandboxes." Hijack Loader, first discovered in 2023, offers the ability to deliver second-stage payloads such as information stealer malware. It also comes with a variety of modules to bypass security software and inject malicious code. Hijack Loader is tracked by the broader cybersecurity community under the names DOILoader, GHOSTPULSE, IDAT Loader, and SHADOWLADDER. In October 2024, HarfangLab and Elastic Security Labs detailed Hijack Loader campaigns t...

Explore how relying on CSRF tokens as a security measure against CSRF attacks is a recommended best practice, but in some cases, they are simply not enough. Introduction As per the Open Web Application Security Project (OWASP), CSRF vulnerabilities are recognized as a significant threat and are historically part of their top risks. The implications of CSRF attacks are far-reaching and could lead to critical security implications, such as: Unauthorized actions : Attackers can trick users into executing unwanted actions on websites where they're authenticated. For example, changing account settings, making purchases, or transferring funds. Identity exploitation : The attack works by exploiting the victim's authenticated session, making the application unable to distinguish between legitimate user requests and forged ones. Silent execution : CSRF attacks often happen without the victim's knowledge as they can be hidden in seemingly innocent links, images, or embedded c...

Whether it's CRMs, project management tools, payment processors, or lead management tools - your workforce is using SaaS applications by the pound. Organizations often rely on traditional CASB solutions for protecting against malicious access and data exfiltration, but these fall short for protecting against shadow SaaS, data damage, and more. A new report, Understanding SaaS Security Risks: Why CASB Solutions Fail to Cover 'Shadow' SaaS and SaaS Governance , highlighting the pressing security challenges faced by enterprises using SaaS applications. The research underscores the growing inefficacy of traditional CASB solutions and introduces a revolutionary browser-based approach to SaaS security that ensures full visibility and real-time protection against threats. Below, we bring the main highlights of the report. Read the full report here . Why Enterprises Need SaaS Security - The Risks of SaaS SaaS applications have become the backbone of modern enterprises, but security teams ...

Organizations now use an average of 112 SaaS applications —a number that keeps growing. In a 2024 study, 49% of 644 respondents who frequently used Microsoft 365 believed that they had less than 10 apps connected to the platform, despite the fact that aggregated data indicated over 1,000+ Microsoft 365 SaaS-to-SaaS connections on average per deployment. And that's just one major SaaS provider. Imagine other unforeseen critical security risks: Each SaaS app has unique security configurations —making misconfigurations a top risk. Business-critical apps (CRM, finance, and collaboration tools) store vast amounts of sensitive data, making them prime targets for attackers. Shadow IT and third-party integrations introduce hidden vulnerabilities that often go unnoticed. Large and small third-party AI service providers (e.g. audio/video transcription service) may not comply with legal and regulatory requirements, or properly test and review code. Major SaaS providers also have thous...