ChaitinAI Security LLM
An intelligent security platform integrating massive real-world attack-defense expertise.
Download WhitepaperIntensifying Challenges in Security Operations Demand Automation & Intelligence
- Low efficiency in massive security event triage
- Escalating difficulty in detecting variant attacks
- Scarce expertise amid sprawling assets and technical domains
- Repetitive consultations draining analyst productivity
Experience ChaitinAI's Efficiency Gains
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high-confidence verdicts, with industry-leading web traffic threat detection
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reduction in time spent retrieving critical security insights
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overall efficiency boost for security teams
How ChaitinAI Operates？
Integrates fragmented data and tools to empower entire SOCs.
Human/System
Accessible via web portal, browser extensions, OpenAPI, and integrations with diverse systems (Chaitin SOC, WAF, Honeypot, and other security devices).
Input Prompts/API Calls
Users may input prompts via the interface or invoke standardized interfaces through system-triggered WenJin APIs.
Intelligent Applications
Utilize pre-built intelligent applications for attack judgment, incident analysis, vulnerability assessment, or create custom applications to interpret prompts/API calls, leveraging all available expertise to formulate execution plans.
Tool Utilization
Execute plans using Chaitin’s battle-tested tools (semantic analysis engines, malicious file detection, vulnerability/threat intelligence) or -defined tools to deliver professional outputs.
Response Handling
Human operators or systems receive results and execute correlated actions (e.g., automated blocking).
Response Generation
Flexibly generate data in required formats (natural language, code, etc.) tailored to specific scenarios.
Integration
Process tool outputs via the ChaitinAI Security LLM—trained on Chaitin’s decade of offensive/defensive expertise—to synthesize analyses and produce actionable responses.
Simplifying Security Problem-Solving
Natural language interface for instant, actionable solutions
Malicious Request Intelligence Analysis
Integrated with Chaitin's semantic analysis detection capabilities, this module performs comprehensive security auditing of arbitrary HTTP requests, intelligently identifying potential risks.
Input
Analyze the following request and fully assess its security risks：
POST /eUrbanMIS/login/validpassword HTTP/1.1 Connection: upgrade Host: 220.248.163.181:8080 Cookie: SESSION=163bd0d0-569b-44c4-80bb-81d17043eed6; JSESSIONID=8CA7AF8D8E12A7E504254B5FB4DA42CF; sl-session=2E6bdvL5TmbKf89sUIPXAg==; name=value; eUrbanGlobalStyle=whiteblue X-Forwarded-For: 111.55.100.205 X-Real-IP: 111.55.100.205 Content-Length: 726 Accept: application/json, text/javascript, */*; q=0.01 App-Id: mis X-Requested-With: XMLHttpRequest User-Agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/124.0.0.0 Safari/537.36 Content-Type: application/x-www-form-urlencoded; charset=UTF-8 Origin: http://220.248.163.181:8080 Accept-Encoding: gzip, deflate Accept-Language: zh-CN,zh;q=0.9,en-US;q=0.8,en;q=0.7 SL-CE-SUID-fb74c84a54715fb7397f3e0ef51c31d3: 1 u=4224dd9de151cd07ff19b49d22b155accccfab09f4a61c5b2e01bb082ff39e56c9df6074d4d23320591eb905d45e065750265495c1c82e9766f1299069ddaaa4ba2121babc79061b5ab8d67489b9118f562e15e9c0ba129b4bd5b8abab707a91e492d6cc8cbed6b612d9c187864360ea5eb3698b5a&p=YjQyMzU0MDJhZWQwYWY3ODhjZWE4NWQ5YmE2MzRjZTc2Mjc2MWM2NWVlY2I3ZWQ4YTQ2MGZiOWEzNjQ4MWEzODk0NjE5ZWI3YzFhZTE5ZWJmNjExODU1NDYwODY2Yjk3NWUwOWM2Mzk2MjQ5ZjEwZTA1ZGE5OTYxM2U0YmZmMmMyYTUyYzgwOTVhMDVlNjVkNWY5OGUyYTlmNzE1MjEyYWY4Yjk3NGFlMmVlMTZmMzc4YzVmNGRhOThjNTA5ZmFkY2U0ODMzODJiMTZmN2UyNzU3ZmExNTA3MmEwMTBkZDUwMDc1MTYyYWJkXCcvKiovYW5kKHNlbGVjdFwnMVwnZnJvbS8qKi9wZ19zbGVlcCg1KSk6OnRleHQ+XCcw&ip=&browserVersion=chrome%2F124.0.0.0&osVersion=Win10%2F32&validCode=&validWay=0&loginSys=®ion=&legacy=false&nonce=mbgh7l395m_9mp7ijg2wj×tamp=1716365701&signature=VVpGuBHnMnQxn%2FFsT%2F3aj3E8zjk%3D
POST /eUrbanMIS/login/validpassword HTTP/1.1 Connection: upgrade Host: 220.248.163.181:8080 Cookie: SESSION=163bd0d0-569b-44c4-80bb-81d17043eed6; JSESSIONID=8CA7AF8D8E12A7E504254B5FB4DA42CF; sl-session=2E6bdvL5TmbKf89sUIPXAg==; name=value; eUrbanGlobalStyle=whiteblue X-Forwarded-For: 111.55.100.205 X-Real-IP: 111.55.100.205 Content-Length: 726 Accept: application/json, text/javascript, */*; q=0.01 App-Id: mis X-Requested-With: XMLHttpRequest User-Agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/124.0.0.0 Safari/537.36 Content-Type: application/x-www-form-urlencoded; charset=UTF-8 Origin: http://220.248.163.181:8080 Accept-Encoding: gzip, deflate Accept-Language: zh-CN,zh;q=0.9,en-US;q=0.8,en;q=0.7 SL-CE-SUID-fb74c84a54715fb7397f3e0ef51c31d3: 1 u=4224dd9de151cd07ff19b49d22b155accccfab09f4a61c5b2e01bb082ff39e56c9df6074d4d23320591eb905d45e065750265495c1c82e9766f1299069ddaaa4ba2121babc79061b5ab8d67489b9118f562e15e9c0ba129b4bd5b8abab707a91e492d6cc8cbed6b612d9c187864360ea5eb3698b5a&p=YjQyMzU0MDJhZWQwYWY3ODhjZWE4NWQ5YmE2MzRjZTc2Mjc2MWM2NWVlY2I3ZWQ4YTQ2MGZiOWEzNjQ4MWEzODk0NjE5ZWI3YzFhZTE5ZWJmNjExODU1NDYwODY2Yjk3NWUwOWM2Mzk2MjQ5ZjEwZTA1ZGE5OTYxM2U0YmZmMmMyYTUyYzgwOTVhMDVlNjVkNWY5OGUyYTlmNzE1MjEyYWY4Yjk3NGFlMmVlMTZmMzc4YzVmNGRhOThjNTA5ZmFkY2U0ODMzODJiMTZmN2UyNzU3ZmExNTA3MmEwMTBkZDUwMDc1MTYyYWJkXCcvKiovYW5kKHNlbGVjdFwnMVwnZnJvbS8qKi9wZ19zbGVlcCg1KSk6OnRleHQ+XCcw&ip=&browserVersion=chrome%2F124.0.0.0&osVersion=Win10%2F32&validCode=&validWay=0&loginSys=®ion=&legacy=false&nonce=mbgh7l395m_9mp7ijg2wj×tamp=1716365701&signature=VVpGuBHnMnQxn%2FFsT%2F3aj3E8zjk%3D
ChaitinAI Response
Encoding Bypass: The attacker likely identified the server's input decoding mechanism (e.g., Base64) and crafted encoded data to exploit potential vulnerabilities during server-side decoding.
Defense Evasion: Use of inline comments (/**/) and string concatenation aligns with OWASP Top 10 SQLi evasion techniques (e.g., manipulating whitespace/comment syntax).
Analysis Results
Attack Type- SQL Injection Attack
- High Risk
- b4235402aed0af788cea85d9ba634ce762761c65eecb7ed8a460fb9a36481a3894619eb7c1ae19ebf611855460866b975e09c6396249f10e05da99613e4bff2c2a52c8095a05e65d5f98e2a9f715212af8b974ae2ee16f378c5f4da98c509fadce483382b16f7e2757fa15072a010dd50075162abd'/**/and(select'1'from/**/pg_sleep(5))::text>'0'
- This payload appears to be Base64-encoded and attempts to execute a malicious query via SQL injection. It includes an SQL injection probe (pg_sleep(5) may induce a 5-second server delay) and uses /**/ as an inline comment operator to inject SQL code, aiming to bypass input validation. The presence of pg_sleep suggests the attacker's objectives may include:
1. Probing for SQL injection vulnerabilities in the service
2. Exhausting server resources to trigger a denial-of-service (DoS)
Encoding Bypass: The attacker likely identified the server's input decoding mechanism (e.g., Base64) and crafted encoded data to exploit potential vulnerabilities during server-side decoding.
Defense Evasion: Use of inline comments (/**/) and string concatenation aligns with OWASP Top 10 SQLi evasion techniques (e.g., manipulating whitespace/comment syntax).
Intelligent Malicious File Detection
Leveraging Chaitin's expertise in malware analysis, this service performs in-depth security scanning of uploaded files, intelligently identifies hidden malicious behaviors and risks, and provides actionable protection recommendations.
Input
Conduct comprehensive analysis of this file to determine security risks:
xxe_webshell_sample.php
ChaitinAI Response
Other engines detected no risks.Threat AnalysisThe file contains XXE injection code exploiting DOM parser vulnerabilities to execute system commands, consistent with typical PHP Webshell behavior.Protection RecommendationsDelete/isolate the file to prevent exploitation.
Conduct security audits for executed malicious commands.
Harden systems against similar vulnerabilities.
Patch related components immediately.
Analysis Results
File Metadata- File Type: PHP
- File Size: 350 bytes
- High
- Risk Level: 20
- Type: php_webshell
- Reason: Detected potential PHP Webshell containing XML External Entity (XXE) injection code for system command execution.
Other engines detected no risks.Threat AnalysisThe file contains XXE injection code exploiting DOM parser vulnerabilities to execute system commands, consistent with typical PHP Webshell behavior.Protection RecommendationsDelete/isolate the file to prevent exploitation.
Conduct security audits for executed malicious commands.
Harden systems against similar vulnerabilities.
Patch related components immediately.
Security Knowledge Q&A
Integrated with Chaitin's offensive/defensive knowledge base, this feature answers vulnerability details, threat intelligence, attack techniques, and compliance guidance to deliver practical security insights.
Input
What are the evolving trends in attack methodologies during large-scale cyber exercises？
ChaitinAI Response
Key Trends in Attack Tactics：
1. Enhanced focus on infrastructure hardening for close-quarters combat
2. 300%+ surge in exploited vulnerabilities compared to previous years
3. Targeted contamination of supply chains
4. Exploitation of new risks in cloud/container/AKSK environments
5. Aggressive internal network reconnaissance
6. Exploiting weak subsidiary defenses in enterprise hierarchies
7. Stealthier remote malware blending with legitimate traffic
8. Advanced evasion using obfuscation/encryption to bypass defenses
9. Sophisticated phishing campaigns leveraging data leaks
10. Growing adoption of physical proximity attacks
11. Maturation of weaponized attack tools
12. Improved anti-forensics and detection avoidance capabilities
Defense Recommendations:
Strengthen monitoring, EDR, and threat hunting
Implement zero-trust architecture for cloud environments
Conduct red team exercises simulating these TTPs
Reference：
• _Analysis of Large-Scale Exercise Attack Trends_
• _2023 Cyber Exercise Postmortem_
• _Tactical Breakdown of Cyber Ranges_
1. Enhanced focus on infrastructure hardening for close-quarters combat
2. 300%+ surge in exploited vulnerabilities compared to previous years
3. Targeted contamination of supply chains
4. Exploitation of new risks in cloud/container/AKSK environments
5. Aggressive internal network reconnaissance
6. Exploiting weak subsidiary defenses in enterprise hierarchies
7. Stealthier remote malware blending with legitimate traffic
8. Advanced evasion using obfuscation/encryption to bypass defenses
9. Sophisticated phishing campaigns leveraging data leaks
10. Growing adoption of physical proximity attacks
11. Maturation of weaponized attack tools
12. Improved anti-forensics and detection avoidance capabilities
Defense Recommendations:
Strengthen monitoring, EDR, and threat hunting
Implement zero-trust architecture for cloud environments
Conduct red team exercises simulating these TTPs
Reference：
• _Analysis of Large-Scale Exercise Attack Trends_
• _2023 Cyber Exercise Postmortem_
• _Tactical Breakdown of Cyber Ranges_
Intelligent Incident Analysis
Combining Chaitin's security operations expertise with product telemetry, this capability analyzes event scope, attack patterns, threat actors, and motives to deliver detailed response guidance while filtering false positives.
Input
Analyze this security incident
ChaitinAI Response
Through multiple rounds of Q&A, a conclusion has been reached. Refer to the figure below:
Flexible & Effortless Access to ChaitinAI
Seamless integration with diverse tools, rapid knowledge base import, and adaptive configuration for scenario-specific applications.
Access Methods
Direct Access, API, Browser Extension
Implementation Modes
Combined with foundational LLMs, standalone deployment, embedded in Chaitin product ecosystem, third-party system integration
Deployment Models
Software, Hardware, SaaS