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A New Cybersecurity Reality Where Attackers Move Faster Than Defenders
The cybersecurity landscape is entering a dangerous new phase. Security teams are no longer dealing with isolated proof-of-concept exploits released weeks or months after a vulnerability disclosure. Instead, threat actors are weaponizing newly disclosed flaws almost immediately, sometimes within days, and increasingly with the assistance of artificial intelligence.
A recent warning from cybersecurity researchers at Defused Cyber highlights this accelerating threat. The company confirmed active exploitation of three critical vulnerabilities affecting Fortinet’s FortiSandbox platform within a 24-hour period. Two of these vulnerabilities had patches available since April 2026, while the third received a fix only days before exploitation activity was observed.
The incident serves as another reminder that modern cyberattacks are no longer limited by the technical expertise of attackers. AI-powered tools are lowering barriers, accelerating exploit development, and helping threat actors launch attacks faster than many organizations can deploy security updates. Even more alarming, researchers believe one of the exploits currently being used was partially generated by artificial intelligence and appears to contain coding flaws, yet attackers are still achieving results against vulnerable systems.
The message is clear: patch management delays are becoming one of the most significant risks facing enterprises today.
Critical FortiSandbox Vulnerabilities Under Active Attack
Defused Cyber identified active exploitation attempts targeting three high-severity vulnerabilities in Fortinet products.
The first vulnerability, tracked as CVE-2026-39813, carries a CVSS score of 9.1 and affects the FortiSandbox JRPC API. The flaw is categorized as a path traversal vulnerability and allows attackers to bypass authentication controls through specially crafted HTTP requests. Because authentication can be bypassed entirely, attackers may gain access to sensitive functionality without valid credentials.
The second vulnerability, CVE-2026-39808, also received a CVSS score of 9.1. Unlike the first issue, this flaw involves operating system command injection. Successful exploitation enables attackers to execute arbitrary commands remotely without authentication, effectively granting control over affected systems.
Both vulnerabilities represent extremely dangerous attack vectors because they require no valid user account, no prior access, and minimal interaction from victims. The fact that patches have been available for months makes the continued success of attacks particularly concerning.
The Third Vulnerability Raises Even More Questions
The third flaw attracting attention is CVE-2026-25089, another command injection vulnerability affecting multiple Fortinet offerings.
According to
What makes this vulnerability especially notable is the speed at which attackers began targeting it. The security update became available only recently, yet researchers observed exploitation activity almost immediately afterward.
Historically, organizations could rely on a relatively comfortable period between vulnerability disclosure and mass exploitation. That safety buffer is rapidly disappearing. Modern threat actors monitor vendor advisories, security bulletins, and patch releases in real time, often reverse-engineering fixes to identify weaknesses before defenders complete deployment.
AI-Generated Exploits Enter the Battlefield
One of the most fascinating aspects of this campaign involves the suspected use of artificial intelligence during exploit development.
Researchers analyzing exploitation attempts observed characteristics suggesting that the exploit targeting CVE-2026-25089 may have been created with assistance from an AI model. Interestingly, the exploit appears to contain coding mistakes and implementation bugs.
Traditionally, poorly written exploit code would significantly reduce the likelihood of successful attacks. Yet researchers noted that attackers continue deploying the flawed code against internet-facing systems.
This creates a troubling reality for defenders.
Even imperfect AI-generated attack tools can become effective when deployed against thousands of vulnerable targets. Attackers no longer need elite exploit developers capable of crafting flawless code. Instead, they can generate large volumes of attack attempts using automated systems and rely on probability to achieve success.
The rise of AI-assisted offensive operations represents a fundamental shift in cybercrime economics. Lower technical barriers mean more actors can participate in sophisticated attacks, increasing overall threat volume across the internet.
Patch Management Failures Remain a Major Weakness
The success of these attacks exposes a persistent problem across the cybersecurity industry: organizations continue delaying security updates despite the availability of vendor fixes.
The two older FortiSandbox vulnerabilities received patches approximately two months before active exploitation was observed. That should have provided ample opportunity for enterprises to secure their environments.
Yet attackers are still finding vulnerable systems.
This situation demonstrates that patch availability alone does not solve security problems. Organizations often struggle with testing requirements, operational constraints, downtime concerns, staffing shortages, and complex infrastructure dependencies.
Threat actors understand these challenges and increasingly exploit them. Rather than targeting unknown vulnerabilities, many attackers simply focus on publicly disclosed flaws that remain unpatched.
In many cases, exploiting a known vulnerability is easier and more reliable than discovering a new one.
Fortinet Continues to Attract Significant Threat Activity
Fortinet products remain highly attractive targets for cybercriminals, ransomware groups, espionage operators, and state-sponsored threat actors.
Security appliances occupy a privileged position within enterprise networks. They often process sensitive traffic, maintain elevated permissions, and provide access to critical infrastructure components.
Compromising such devices can provide attackers with extensive visibility and control.
This latest incident follows another serious Fortinet security event earlier in 2026 involving CVE-2026-35616, a critical FortiClient EMS vulnerability carrying a CVSS score of 9.1. That flaw was reportedly being exploited before organizations had the opportunity to fully deploy available fixes.
The pattern is becoming increasingly familiar across the cybersecurity ecosystem. Vulnerability disclosures are followed by rapid exploit development, immediate scanning activity, and widespread attack attempts targeting organizations that have not yet patched affected systems.
Why the Window for Response Is Shrinking
Cybersecurity teams traditionally measured patch deployment schedules in weeks or months.
That model is becoming obsolete.
Modern attackers frequently automate vulnerability discovery, exploit generation, target identification, and attack execution. Combined with artificial intelligence and cloud infrastructure, these capabilities allow adversaries to move at unprecedented speed.
As a result, defenders now face response windows measured in days and sometimes hours.
Organizations relying on quarterly patch cycles may unknowingly expose themselves to significant risk. Every delay between patch release and deployment creates an opportunity for attackers to establish persistence, steal data, or deploy ransomware.
The FortiSandbox exploitation campaign demonstrates exactly how quickly this cycle now unfolds.
What Undercode Say:
The Fortinet incident is not simply another vulnerability story. It represents a broader transformation occurring across offensive cybersecurity operations.
For years, defenders worried about advanced persistent threats, nation-state actors, and elite exploit developers.
Today, artificial intelligence is changing the equation.
Even though the suspected AI-generated exploit appears flawed, attackers are still deploying it successfully. That reveals a powerful truth about modern cybercrime.
Attackers no longer need perfection.
They only need scale.
If an exploit works against 1% of targets, automated systems can scan hundreds of thousands of internet-facing devices and still achieve meaningful results.
The economics heavily favor attackers.
AI reduces development time.
Automation reduces operational costs.
Cloud infrastructure increases attack volume.
Meanwhile, defenders continue dealing with bureaucracy, change-management processes, maintenance windows, compliance reviews, and staffing limitations.
This imbalance is becoming increasingly visible.
Another important takeaway involves patch management maturity.
Many organizations still treat patching as a routine maintenance activity.
That mindset is outdated.
Patching has become an emergency response function.
The gap between disclosure and exploitation continues shrinking every year.
Security teams should assume threat actors are already analyzing patches the moment vendors release them.
The AI angle is particularly significant.
While current AI-generated exploits may contain mistakes, future generations will improve rapidly.
Large language models are already capable of assisting with scripting, vulnerability analysis, reverse engineering, and code generation.
The quality will continue increasing.
Defenders should prepare for an environment where exploit development becomes partially automated.
Organizations must also improve visibility into exposed services.
Many vulnerable devices remain internet-accessible unnecessarily.
Attack surface reduction can significantly lower risk even before patches are deployed.
Network segmentation, zero-trust principles, privileged access controls, and continuous monitoring should accompany patch management efforts.
The Fortinet story ultimately highlights a larger industry challenge.
Technology is accelerating faster than organizational security processes.
Attackers are adapting in real time.
Many enterprises are not.
Those that continue operating with slow patch cycles will increasingly find themselves responding to incidents instead of preventing them.
The next generation of cyber threats may not be powered by expert hackers alone.
They may be powered by automated systems capable of generating, testing, modifying, and deploying exploits at machine speed.
That future is no longer theoretical.
Early signs are already visible.
Deep Analysis
The following commands can help defenders identify vulnerable systems, monitor exposure, and improve response capabilities:
Linux: Identify Internet-Facing Fortinet Services
nmap -sV -Pn <target-ip> Linux: Scan HTTP Headers
curl -I https://target-domain Linux: Check Open Ports Across Networks
masscan 0.0.0.0/0 -p443 --rate=10000 Linux: Review Authentication Logs
grep "Failed password" /var/log/auth.log Linux: Monitor Active Network Connections
ss -tulpn Linux: Detect Suspicious Processes
ps aux --sort=-%cpu Linux: Search for Unexpected Web Requests
grep "POST" /var/log/nginx/access.log Linux: Verify Security Updates
apt update && apt list --upgradable Windows: Monitor Active Connections
netstat -ano Windows: Review Security Events
Get-WinEvent -LogName Security Windows: Identify Running Services
Get-Service macOS: Display Listening Ports
lsof -i -P -n | grep LISTEN macOS: Inspect System Logs
log show --last 24h
Cross-Platform Incident Response
tcpdump -i any host <suspicious-ip>
Threat Hunting Workflow
grep -Ri "cmd=" /var/log/
find / -type f -mtime -7
sha256sum suspicious_file
clamscan -r /
✅ Defused Cyber reported active exploitation of three Fortinet FortiSandbox vulnerabilities within a short timeframe after disclosure.
✅ CVE-2026-39813 and CVE-2026-39808 are both critical vulnerabilities with CVSS scores of 9.1 that can enable unauthenticated attacks through crafted HTTP requests.
✅ Researchers indicated that exploitation activity associated with CVE-2026-25089 showed signs of AI-assisted development, though the exploit reportedly contains implementation issues and remains imperfect.
Prediction
(+1) Positive Prediction
AI-powered threat detection platforms will become significantly better at identifying exploitation attempts targeting newly disclosed vulnerabilities within hours of public disclosure.
Security vendors will increasingly release automated mitigation packages alongside patches, reducing exposure windows for enterprise customers.
Organizations adopting continuous patch management and attack-surface monitoring will experience fewer successful intrusions despite growing threat activity.
(-1) Negative Prediction
AI-assisted exploit generation will become more sophisticated, producing reliable attack code much faster than traditional manual development methods.
The average time between vulnerability disclosure and mass exploitation will continue shrinking, potentially reaching same-day exploitation for critical flaws.
Organizations maintaining monthly or quarterly patch cycles will face increasing compromise rates as attackers capitalize on delayed remediation efforts.
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References:
Reported By: securityaffairs.com
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