Web Attack Trend Report Archives | SECaaS Platform AIONCLOUD

[2026.04] Threat Intelligence Report

Status of High-Risk Vulnerabilities No. Vulnerability No. (CVE) Content CVSS Risk Level 1CVE-2026-20131Cisco Secure FMC Insecure Deserialization10CRITICAL 2CVE-2026-27897Vociferous Path Traversal10CRITICAL 3CVE-2026-32306OneUptime SQL Injection9.9CRITICAL 4CVE-2026-29058AVideo Encoder Command Injection9.8CRITICAL 5CVE-2026-31896WeGIA SQL Injection9.8CRITICAL 6CVE-2026-26793GL-iNet GL-AR300M16 Command Injection9.8CRITICAL 7CVE-2026-26795GL-iNet GL-AR300M16 Command Injection9.8CRITICAL 8CVE-2026-26791GL-iNet GL-AR300M16 Command Injection9.8CRITICAL 9CVE-2026-26792GL-iNet GL-AR300M16 Command Injection9.8CRITICAL 10CVE-2026-29183SiYuan Cross-Site Scripting9.3CRITICAL Distribution of Web Application Attack Types Read more about [2026.04] Threat Intelligence Report[…]

[2026.03] Web Attack Trend Report

[March 2026 Web Attack Trend Analysis] 1. Weekly Web Attack Trend Analysis By analyzing weekly web attack trends, it is possible to identify specific periods when attacks are most concentrated. These insights can be used to establish proactive prevention and response strategies in anticipation of high-risk periods. The graph below visualizes the number of web Read more about [2026.03] Web Attack Trend Report[…]

[2026.02] Web Attack Trend Report

[February 2026 Web Attack Trend Analysis] 1. Weekly Web Attack Trend Analysis Through weekly web attack trend analysis, it is possible to identify periods during which web attacks were highly concentrated. These insights can be used to establish proactive prevention and response strategies in preparation for periods of increased attack activity. The graph below visualizes Read more about [2026.02] Web Attack Trend Report[…]

[2026.01] Web Attack Trend Report

[January 2026 Web Attack Trend Analysis] 1. Weekly Web Attack Trend Analysis By analyzing weekly web attack trends, it is possible to identify specific periods during which web attacks were heavily concentrated. These insights can be used to establish proactive prevention and response strategies in preparation for periods of increased attack activity. The graph below Read more about [2026.01] Web Attack Trend Report[…]

[2025.11] Web Attack Trend Report

[November 2025 Web Attack Trend Analysis] 1. Weekly Web Attack Trend Analysis By analyzing weekly web attack trends, it is possible to identify specific periods during which web attacks were heavily concentrated. Based on these insights, organizations can establish proactive prevention and response strategies to prepare for periods of frequent attack activity. The graph below Read more about [2025.11] Web Attack Trend Report[…]

[2025.10] Web Attack Trend Report

[October 2025 Web Attack Trend Analysis] 1. Weekly Web Attack Trend Analysis By analyzing weekly web attack trends, it is possible to identify specific periods during which web attacks were heavily concentrated. This insight can be used to establish proactive prevention and response strategies in preparation for periods with frequent attack activity. The graph below Read more about [2025.10] Web Attack Trend Report[…]

[2025.09] Web Attack Trend Report

[September 2025 Web Attack Trend Analysis] 1. Weekly Web Attack Trend Analysis By analyzing weekly web attack trends, it is possible to identify specific periods when web attacks were concentrated. Based on this, the findings can be used to establish proactive prevention and response strategies to prepare for periods with frequent attacks. The graph below visualizes the number of web Read more about [2025.09] Web Attack Trend Report[…]

[2025.08] Web Attack Trend Report

[August 2025 Web Attack Trend Analysis] 1. Weekly Web Attack Trend Analysis By analyzing weekly web attack trends, it is possible to identify specific periods when web attacks were concentrated. Based on this, the findings can be used to establish proactive prevention and response strategies for periods with frequent attacks. The graph below visualizes the number of web attacks detected by AIWAF on a weekly basis during August 2025. An analysis of the data detected by AIWAF during August 2025 revealed that an average of over 350,000 web attacks were detected per day. This figure represents a noticeable upward trend compared to the previous month, demonstrating that threats targeting web servers continue to evolve in sophistication. In addition, the frequency of attacks was higher on weekends (Saturday and Sunday) compared to weekdays, which can be interpreted as a strategic approach that exploits the reduced usage of web servers during non-business hours. In particular, August 2 recorded the highest concentration of web attacks during the entire period, with SQL Injection accounting for the largest share among the detected attack types on that day. SQL Injection is a representative attack technique used to manipulate databases in order to steal system privileges or leak internal information. Attackers typically employ this method to bypass authentication procedures or to analyze database structures. Due to these characteristics, special attention is required to protect sensitive corporate information. In fact, within AIWAF, SQL Injection is classified as a high-risk attack type with the largest number of detection patterns configured. These findings highlight the need for continuous vigilance and precise response strategies against major web attack types, including SQL Injection. They also serve as an important reference for the establishment of future detection and prevention policies. 2. Web Attack Trends by Attack Type By analyzing web attack trends by attack type based on detection logs, it is possible to systematically identify which types of attacks occurred most frequently during the month. Such analysis goes beyond simple statistics and serves as a key foundation for developing organizational security policies and concretizing response frameworks. An analysis of detection logs collected by AIWAF during August 2025 revealed that various types of web attacks were detected. Among them, some attack types showed distinct patterns, such as concentrated occurrences during specific periods or accounting for a significant proportion of the total number of attacks. In particular, classic yet still highly threatening attack types such as SQL Injection and System File Access ranked among the top. These attacks are typically carried out repeatedly, mainly through automated attack tools or botnets. The graph below visualizes the distribution of web attack types detected by AIWAF in August 2025. According to the statistics of web attack types detected by AIWAF during August 2025, SQL Injection accounted for 37.29% of total detections, the highest proportion. This was followed by System File Access (14.65%), Default Page (13.65%), and App Weak (10.58%). These results indicate the need for more precise countermeasures and proactive preventive actions for specific attack types. First, SQL Injection is a highly critical attack type that consistently ranks near the top of the OWASP Top 10, and its techniques continue to evolve in diverse ways. This attack typically occurs when values supplied via user input are incorporated directly into SQL queries and executed. Attackers exploit this to perform abnormal authentication bypass, enumerate database structures, and steal sensitive data. Systems that use dynamic queries or lack sufficient input validation are particularly vulnerable to such attacks. The second most prevalent type, System File Access (14.65%), refers to attempts by attackers to exploit vulnerabilities in web applications to gain unauthorized access to internal system files and directories or manipulate arbitrary files. These attacks can result from web server misconfigurations, insufficient access controls, or failures in directory path validation. If successful, they may lead to privilege escalation or the installation of backdoors. The third type, Default Page (13.65%), targets pages left with default settings after installation or system message pages. Such pages often expose information that reveals the type and configuration state of the system software during the reconnaissance phase, which can then be leveraged for subsequent attacks. Although generally passive in nature, this attack type is often widely scanned using automated tools, making early detection and response essential. The fourth type, App Weakness (10.58%), exploits inherent security flaws in applications such as weak authentication, session management vulnerabilities, or configuration errors. Notably, there has been an increase in cases detected as authentication bypass attempts and API abuse within cloud-based SaaS systems and API-driven services. Such trends may significantly influence the development of future cloud security policies.     The Web Attack Trend Report provides the latest web vulnerability analyses, industry-specific attack patterns, and key CVE-based vulnerability information, all based on processed data from the Read more about [2025.08] Web Attack Trend Report[…]

[2025.07] Web Attack Trend Report

[July 2025 Web Attack Trend Analysis] 1. Weekly Web Attack Trend Analysis Through weekly web attack trend analysis, it is possible to identify specific periods when web attacks were concentrated. Based on this, it can be utilized to establish proactive prevention and response strategies for periods with frequent attacks. The graph below visualizes the number of web attacks detected by AIWAF on a weekly basis during July 2025. An analysis of data detected by AIWAF during July 2025 revealed that an average of over 270,000 web attacks per day were detected. This figure shows a slight upward trend compared to the previous month, indicating that threats targeting web servers are continuously evolving. In addition, the frequency of attacks was higher on weekends (Saturday and Sunday) than on weekdays, which can be interpreted as a strategic approach aimed at exploiting reduced web server usage during non-business hours. In particular, July 9 recorded the highest concentration of web attacks during the entire period. Among the attack types detected on that day, SQL Injection accounted for the largest proportion. SQL Injection is a representative attack technique that manipulates databases to steal system privileges or leak internal information. Attackers typically use this method to bypass user authentication processes or to identify database structures. Due to these characteristics, special attention is required to protect sensitive corporate information. In fact, within AIWAF, SQL Injection is classified as a high-risk attack type with the largest number of detection patterns configured. These findings highlight the need for continuous attention and precise response strategies against major web attack types, including SQL Injection. They will also serve as important reference data for establishing future detection and prevention policies. 2. Web Attack Trends by Attack Type By analyzing web attack trends by attack type based on detection logs, it is possible to systematically identify which types of attacks occurred most frequently during the month. Such analysis goes beyond simple statistics and serves as a key foundation for establishing organizational security policies and concretizing response frameworks. An analysis of detection logs collected by AIWAF during July 2025 revealed that various types of web attacks were detected. Among them, some attack types showed distinct patterns, such as concentrated occurrences during specific periods or accounting for a significant proportion of the total number of attacks. In particular, classic yet still highly threatening attack types—such as SQL Injection and System File Access—ranked among the top. These attacks tend to be repeatedly executed, primarily through automated attack tools or botnets. The graph below visualizes the distribution of web attack types detected by AIWAF in July 2025.     The Web Attack Trend Report provides the latest web vulnerability analyses, industry-specific attack patterns, and key CVE-based vulnerability information, all based on processed data from the AI/ML-powered threat Read more about [2025.07] Web Attack Trend Report[…]

[2025.06] Web Attack Trend Report

[June 2025 Web Attack Trend Analysis] 1. Weekly Web Attack Trend Analysis Weekly web attack trend analysis allows us to identify periods when web attacks were concentrated at specific points in time. Based on this, we can establish preventive and response strategies in advance to prepare for periods when attacks are frequent. The graph below visualizes the number of web attacks detected by AIWAF on a weekly basis during the month of June 2025. An analysis of data detected by AIWAF during the month of June 2025 revealed that an average of approximately 290,000 web attacks were detected per day. This figure shows a significant increase compared to the previous month, indicating that threats to web servers are becoming increasingly sophisticated. In addition, the frequency of attacks was higher on weekends (Saturday and Sunday) than on weekdays, which can be interpreted as a strategic approach targeting lower web server usage outside of business hours. In particular, June 2 was the day with the highest concentration of web attacks during the entire period, and SQL injection accounted for the highest proportion of attack types detected on that date. SQL Injection is a representative attack method that can be used to manipulate databases to steal system privileges or leak internal information. Attackers typically use this technique to bypass user authentication procedures or to understand database structures, and due to these characteristics, special attention is required to protect sensitive corporate information. In fact, AIWAF classifies SQL Injection as a high-risk attack type with the most detection patterns set. These analysis results highlight the need for ongoing attention and precise response strategies for major web attack types, including SQL Injection, and will serve as important reference material for establishing detection and blocking policies in the future. 2. Web Attack Trends by Attack Type By analyzing web attack trends by attack type based on detection logs, you can systematically identify which types of attacks occurred frequently over a month. Such analysis goes beyond simple statistics and serves as a key benchmark for establishing security policies and response systems for organizations. An analysis of detection logs collected by AIWAF over the month of June 2025 revealed various types of web attacks, some of which exhibited distinct patterns, such as concentrated occurrences during specific periods or a high proportion of total attack incidents. Notably, classic yet still threatening attack types such as SQL Injection and System File Access were prevalent, and these attacks are often carried out repeatedly using automated attack tools or botnets. The graph below visualizes the distribution of web attack types detected by AIWAF as of June 2025.     The Web Attack Trend Report provides the latest web vulnerability analyses, industry-specific attack patterns, and key CVE-based vulnerability information, all based on processed data from the AI/ML-powered threat intelligence platform AILabs. Subscribe to receive the full monthly Web Attack Trend Report! [ Read more about [2025.06] Web Attack Trend Report[…]

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