Cladious - Advanced Blockchain Security & Analysis Platform

Overview

Project Scope

Project Scope: Standard review process Based on the analysis of wallet 0x8ed8cf0c1c531c1b20848e78f1cb32fa5b99b81c: Risk Level: Low Total Issues Found: 45

Suspicious Wallet Hash

0x8ed8cf0c1c531c1b20848e78f1cb32fa5b99b81c

This is the primary wallet address being investigated in this report.

Methodology

Research Methodology

Analysis Methodology for Wallet 0x8ed8cf0c1c531c1b20848e78f1cb32fa5b99b81c PRIMARY FOCUS: Regular Transaction Wallet - Standard transaction monitoring - Basic pattern analysis - Normal risk assessment 1. Transaction Pattern Analysis (Standard Volume Profile) - Basic transaction flow analysis - Simple pattern recognition - Standard volume monitoring - Regular interaction checks 2. Network Analysis (Simple Network) - Basic network mapping - Direct relationship analysis - Simple connection tracking - First-degree interaction monitoring 3. Behavioral Analysis (Standard Profile) - Basic behavioral monitoring - Standard risk factor checking - Simple pattern matching - Single-chain activity tracking 4. Risk Scoring Weights (Customized for this wallet): - Transaction Patterns: 0.25 - Network Complexity: 0.25 - Behavioral Indicators: 0.25 - Historical Markers: 0.25 5. Specialized Detection Methods: - Basic anomaly detection - Standard pattern recognition - Simple behavior analysis - Regular monitoring checks 6. Standard Compliance Measures: - Standard due diligence - Regular reporting - Basic transaction tracking - Normal audit procedures Key Statistics Influencing Methodology: - Transaction Count: 0 - Network Connections: 0 - Risk Level: Low - Total Volume: 0.00 - Suspicious Patterns: 11 Confidence Metrics: - Analysis Confidence: 85% - Risk Assessment Accuracy: 80% - Pattern Recognition Reliability: 85% This methodology has been specifically tailored for this wallet based on: - Historical transaction patterns - Network complexity level - Risk profile characteristics - Volume and frequency metrics - Detected behavioral patterns The analysis approach will be automatically adjusted as new patterns emerge.

Data Collection

Data Collection Process: 1. Transaction Data Collection - Collected transaction data from wallet address 0x8ed8cf0c1c531c1b20848e78f1cb32fa5b99b81c - No transactions found - Retrieved token transfer history from the blockchain 2. Tag & Label Collection - Analyzed 11 tagged transactions - Found 1 unique tag categories 3. Analysis Results Collection - Processed 11 analysis results - Risk Score: 34/100 (Standardized: 1, Additional: +33), - Detected 11 connected addresses - Detected address list: <QuerySet ['0x8ed8cf0c1c531c1b20848e78f1cb32fa5b99b81c', '0x8ed8cf0c1c531c1b20848e78f1cb32fa5b99b81c', '0x8ed8cf0c1c531c1b20848e78f1cb32fa5b99b81c', '0x8ed8cf0c1c531c1b20848e78f1cb32fa5b99b81c', '0x8ed8cf0c1c531c1b20848e78f1cb32fa5b99b81c', '0x8ed8cf0c1c531c1b20848e78f1cb32fa5b99b81c', '0x8ed8cf0c1c531c1b20848e78f1cb32fa5b99b81c', '0x8ed8cf0c1c531c1b20848e78f1cb32fa5b99b81c', '0x8ed8cf0c1c531c1b20848e78f1cb32fa5b99b81c', '0x8ed8cf0c1c531c1b20848e78f1cb32fa5b99b81c', '0x8ed8cf0c1c531c1b20848e78f1cb32fa5b99b81c']> 4. Data Validation Status - Data integrity: ✓ Verified - Tag consistency: ✓ Verified

Data Preprocessing

Data Preprocessing Steps: 1. Transaction Data Cleaning - Removed duplicate transactions - Standardized timestamp formats - Normalized transaction amounts to USD values - Filtered out invalid or incomplete transactions - Handled missing values in transaction records 2. Feature Engineering - Created time-based features (hour, day, week patterns) - Calculated transaction velocity metrics - Generated network centrality measures - Derived statistical features from amounts - Computed temporal transaction patterns 3. Address Clustering - Grouped related addresses using common spending patterns - Identified address clusters through heuristic analysis - Merged addresses with similar behavioral patterns - Tagged address clusters with risk categories 4. Outlier Detection - Applied statistical methods to detect anomalous transactions - Identified unusual patterns in transaction amounts - Flagged suspicious temporal patterns - Detected anomalous network connections - Utilized Local Outlier Factor algorithm for rare event detection 5. Data Aggregation - Aggregated transaction data by time windows - Computed summary statistics for each address - Generated address interaction matrices - Created temporal activity profiles - Built community graphs for relationship mapping 6. Data Transformation - Normalized numerical features - Encoded categorical variables - Applied dimensionality reduction where needed - Scaled features for model compatibility 7. Quality Checks - Validated data consistency - Verified feature completeness - Ensured proper handling of edge cases - Confirmed data integrity post-processing

Design Pattern

No design pattern information is available for this report.

Analysis

Detected 10 unusual user behaviors. Discovered 10 time-based irregularities. Detected 3 local outlier anomalies. Identified 11 suspicious wallet communities. Located 11 suspicious transactions.

Overall Risk Assessment: Low

Risk Level Analysis:

    The wallet has been classified as LOW RISK with a risk score of 34/100 (Base: 1, Additional: +33) based on the following specific findings:

All Findings: - 10 unusual user behaviors detected, - 10 time-based irregularities detected, - 3 local outlier anomalies detected, - 11 suspicious wallet communities detected, - 11 suspicious transactions detected This classification indicates MINIMAL CONCERN with standard monitoring recommended. We suggest: - Normal transaction monitoring procedures - Periodic risk reassessment - No special measures required at this time

No network-based suspicious activities detected. The wallet's network connections appear normal.

The analysis identified very short time between transactions in 10 instance(s) (0xfb5848bab53f5761bdeb490e22622116ee665406e2d3464935eae74a8a7bdcc1, 0x879e3e915795adc0798106a55885fe92c803e2a248635b07c286cc35c9cca938, 0x3e4fdb75661d76fa980b0d4d9c51b740e3f4e18c0b292a174412e1e0a102e907 and 7 others). This deviation from standard user behavior could indicate compromised keys or automated activity.

No concerning trends identified. Transaction volumes and patterns are within expected ranges.

Temporal analysis revealed high frequency activity at 10 specific time point(s) (0x879e3e915795adc0798106a55885fe92c803e2a248635b07c286cc35c9cca938, 0x3e4fdb75661d76fa980b0d4d9c51b740e3f4e18c0b292a174412e1e0a102e907, 0x4a54bb7d2a744fc60c397312a28ca20260fc5b9998a3ba64b3ba60379ba17dc1 and 7 others). Irregular timing can be a sign of scripted bots or coordinated actions across time zones.

Summary

Total Suspicious Transactions

11

Average Risk Score

66.18

Top Tags

Suspicious Transactions

Transaction Hash	Network	Risk Score	Risk Factors	Tags
`0x879e3e9…`	—	52 Medium	Related to multiple high-risk transactions Low transaction fee Transaction amount significantly lower than historical average Short time frame between transactions Common spending heuristic triggered Very short time between transactions	High Risk Mixing Service
`0xfb5848b…`	—	56 Medium	Related to multiple high-risk transactions Low transaction fee Transaction amount significantly lower than historical average Local Outlier Factor (LOF) detected as anomaly Transaction amount halved compared to previous Common spending heuristic triggered Very short time between transactions	High Risk Anomalous Activity Mixing Service
`0x3e4fdb7…`	—	52 Medium	Related to multiple high-risk transactions Low transaction fee Transaction amount doubled compared to previous Short time frame between transactions Common spending heuristic triggered Very short time between transactions Transaction amount significantly higher than historical average	High Risk Mixing Service
`0x4a54bb7…`	—	53 Medium	Equal amount mixing pattern Transaction amount significantly lower than historical average Local Outlier Factor (LOF) detected as anomaly Short time frame between transactions Common spending heuristic triggered Very short time between transactions	High Risk Mixing Service
`0xe2b0ba1…`	—	52 Medium	Equal amount mixing pattern Transaction amount significantly lower than historical average Local Outlier Factor (LOF) detected as anomaly Transaction amount halved compared to previous Common spending heuristic triggered Timing correlation detected	High Risk Mixing Service
`0x05af21e…`	—	57 Medium	Equal amount mixing pattern Transaction amount significantly lower than historical average Short time frame between transactions Common spending heuristic triggered Timing correlation detected High frequency activity Very short time between transactions	High Risk Mixing Service
`0x5dac1f1…`	—	62 Medium	Equal amount mixing pattern Transaction amount significantly lower than historical average Fan-in structuring detected Sudden burst of transactions to recipient Timing correlation detected High frequency activity Very short time between transactions	Structuring High Risk Unusual Pattern Rapid Movement Mixing Service Regulatory Evasion
`0x823c547…`	—	62 Medium	Equal amount mixing pattern Transaction amount significantly lower than historical average Fan-in structuring detected Sudden burst of transactions to recipient Timing correlation detected High frequency activity Very short time between transactions	Structuring High Risk Unusual Pattern Rapid Movement Mixing Service Regulatory Evasion
`0xb5f91ed…`	—	77 High	Equal amount mixing pattern Transaction amount significantly lower than historical average Fan-in structuring detected Sudden burst of transactions to recipient Timing correlation detected High frequency activity Very short time between transactions	Structuring High Risk Unusual Pattern Rapid Movement Mixing Service Regulatory Evasion
`0x05c5088…`	—	77 High	Equal amount mixing pattern Transaction amount significantly lower than historical average Fan-in structuring detected Sudden burst of transactions to recipient Timing correlation detected High frequency activity Very short time between transactions	Structuring High Risk Unusual Pattern Rapid Movement Mixing Service Regulatory Evasion
`0x98886c1…`	—	77 High	Equal amount mixing pattern Transaction amount significantly lower than historical average Fan-in structuring detected Sudden burst of transactions to recipient Timing correlation detected High frequency activity Very short time between transactions	Structuring High Risk Unusual Pattern Rapid Movement Mixing Service Regulatory Evasion

Showing 1 to 10 of 0 transactions

Advanced Analysis Findings

Our Local Outlier Factor (LOF) algorithm flagged 3 transaction(s) as statistical outliers due to local outlier factor (lof) detected as anomaly (0xfb5848bab53f5761bdeb490e22622116ee665406e2d3464935eae74a8a7bdcc1, 0x879e3e915795adc0798106a55885fe92c803e2a248635b07c286cc35c9cca938, 0x5dac1f15d01d4fc1dbb2608df257270c574a926179af4a69a8bef4fd21730668). These transactions deviate significantly from the wallet's historical norm.

Community detection algorithms placed this wallet in a cluster exhibiting part of suspicious wallet community. This involves 11 related transaction(s) (0xfb5848bab53f5761bdeb490e22622116ee665406e2d3464935eae74a8a7bdcc1, 0x879e3e915795adc0798106a55885fe92c803e2a248635b07c286cc35c9cca938, 0x3e4fdb75661d76fa980b0d4d9c51b740e3f4e18c0b292a174412e1e0a102e907 and 8 others) and suggests participation in a coordinated group.

No rapid multi-hop layering patterns detected. Transactions follow expected paths.

No coordinated wallet clusters identified. The wallet appears to operate independently.

No connections to sanctioned addresses detected. No regulatory compliance concerns identified.

Suspicious Activities

High Risk Patterns: - Mixing Services: 0 instances detected - High Value Transfers: 11 transactions - Unusual Patterns: 0 cases identified Temporal Analysis: - Sudden Balance Changes: - Transaction Frequency: • Daily: 11 transactions • Weekly: 11 transactions Network Metrics: - Risk Connections: 0 identified - Flagged Interactions: 0 detected Advanced Detection: - Local Outlier Anomalies: 3 detected - Suspicious Communities: 11 identified - Layering Patterns: 0 found - Coordinated Clusters: 0 observed - Sanctioned Address Links: 0 discovered Risk Assessment: - Overall Risk Score: 61.55 - High Risk Activities: 11 instances

Conclusions & Recommendations

Conclusions

Based on our comprehensive analysis of wallet 0x8ed8cf0c1c531c1b20848e78f1cb32fa5b99b81c, we have reached the following key conclusions: 1. Risk Assessment Overview - Overall Risk Score: 61.55/1.00 - 11 High Risk Activities Identified - 0 Suspicious Network Connections 2. Transaction Pattern Analysis - Detected 0 instances of potential mixing service usage - Identified 11 high-value transfers requiring attention - Observed 0 unusual transaction patterns 3. Temporal Behavior - Daily Transaction Volume: 11 transactions - Weekly Transaction Volume: 11 transactions - Notable sudden balance changes detected in temporal analysis 4. Network Analysis - 0 flagged interactions with other addresses - Complex transaction paths suggesting potential layering activity - Multiple connections to previously flagged addresses 5. Advanced Detection Findings - 3 local outlier anomalies indicating unusual transaction characteristics - 11 suspicious wallet communities suggesting coordinated activities - 0 layering patterns potentially obscuring transaction origins - 0 coordinated wallet clusters identified - 0 connections to sanctioned addresses representing regulatory risk Summary: The wallet demonstrates significant risk factors based on transaction patterns, network connections, temporal behaviors, and advanced detection metrics. The presence of suspicious patterns warrants standard review.

Recommendations

Based on our detailed analysis of wallet 0x8ed8cf0c1c531c1b20848e78f1cb32fa5b99b81c, we recommend the following actions: 1. Transaction Monitoring Recommendations - Monitor high-value transfers more closely - Set transaction thresholds and implement additional verification steps - Consider implementing velocity checks for large transactions 2. Risk Mitigation Steps 3. Advanced Detection Follow-up - Review local outlier transactions in detail - Implement statistical monitoring for future anomalies - Flag similar transaction patterns for immediate review - Monitor identified wallet communities for coordinated activities - Track wallet community growth and transaction patterns - Implement alerts for new activity within flagged communities 4. Layering and Clustering Surveillance 5. Compliance Actions 6. Future Monitoring Strategy - Frequency: Daily monitoring recommended due to high risk factors - Scope: Focus on Related to multiple high-risk transactions, Equal amount mixing pattern, Low transaction fee patterns - Duration: Maintain enhanced monitoring for at least 6 months 7. Additional Recommendations - Document all findings in compliance management system - Update risk assessment every 30 days - Share findings with relevant stakeholders and compliance teams

Severity Assessment

100

Appendices & References

Appendices

Appendix A: Transaction Analysis Details - Include detailed transaction logs - Add blockchain explorer screenshots - Attach any relevant wallet analysis reports Appendix B: Supporting Documentation - Include copies of any referenced regulations or guidelines - Add relevant policy documents - Attach any correspondence related to the investigation Appendix C: Technical Analysis - Include network graphs and visualizations - Add statistical analysis results - Attach raw data exports if relevant Appendix D: Advanced Detection Results - Include Local Outlier Factor (LOF) analysis outputs - Add community detection visualizations - Include layering pattern diagrams - Attach address clustering results - Include sanctioned address check reports Note: Please organize appendices clearly with proper labeling and references. Include any additional materials that support your findings and recommendations.

References

Please include relevant references from the following categories: 1. Blockchain Analysis Tools & Resources - Links to relevant blockchain explorers used - API documentation references - Analysis platform documentation 2. Regulatory & Compliance Documents - Applicable regulatory guidelines - AML/CFT frameworks - Industry compliance standards - Sanctioned address lists and sources 3. Technical Documentation - Blockchain analysis methodology references - Transaction tracing documentation - Network analysis frameworks - Anomaly detection algorithms and implementations 4. Internal Resources - Previous related analysis reports - Company policies and procedures - Internal risk assessment guidelines 5. Supporting Materials - Relevant case studies - Industry reports and whitepapers - Expert consultations - Academic research on detection methods Note: For each reference, include full citation with date accessed and version/publication info where applicable.

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Resolv Exploiter Wallet 0x8ed8cf0c1c531c1b20848e78f1cb32fa5b99b81c Analysis Report

Overview

Project Scope

Suspicious Wallet Hash

Methodology

Research Methodology

Data Collection

Data Preprocessing

Design Pattern

Analysis

Summary

Suspicious Transactions

Advanced Analysis Findings

Suspicious Activities

Conclusions & Recommendations

Conclusions

Recommendations

Severity Assessment

Appendices & References

Appendices

References

Report Information

Corporate

Blog

Social

Resolv Exploiter Wallet 0x8ed8cf0c1c531c1b20848e78f1cb32fa5b99b81c Analysis Report

Overview

Project Scope

Suspicious Wallet Hash

Methodology

Research Methodology

Data Collection

Data Preprocessing

Design Pattern

Analysis

Summary

Suspicious Transactions

CSV Download Options

Advanced Analysis Findings

Suspicious Activities

Conclusions & Recommendations

Conclusions

Recommendations

Severity Assessment

Appendices & References

Appendices

References

Report Information

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