[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 intelligence platform AILabs.
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