Very High Risk Wallet 0x43f7C663D4f63E1C7F0444D1DdA8c4951AD65F1E Analysis Report
Published
06 Aug 2025
7 views
Wallet Name
0x43f7C663D4f63E1C7F0444D1DdA8c4951AD65F1E
Overview
Project Scope
Project Scope: High-Priority Investigation Based on the analysis of wallet 0x43f7C663D4f63E1C7F0444D1DdA8c4951AD65F1E: Risk Level: Very High Total Issues Found: 140
Suspicious Wallet Hash
0x43f7C663D4f63E1C7F0444D1DdA8c4951AD65F1E
This is the primary wallet address being investigated in this report.
Methodology
Research Methodology
Analysis Methodology for Wallet 0x43f7C663D4f63E1C7F0444D1DdA8c4951AD65F1E
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: Very High
- Total Volume: 0.00
- Suspicious Patterns: 20
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 0x43f7C663D4f63E1C7F0444D1DdA8c4951AD65F1E
- No transactions found
- Retrieved token transfer history from the blockchain
2. Tag & Label Collection
- Analyzed 20 tagged transactions
- Found 1 unique tag categories
3. Analysis Results Collection
- Processed 20 analysis results
- Risk Score: 100/100 (Standardized: 1, Additional: +160),
- Detected 20 connected addresses
- Detected address list: <QuerySet ['0x43f7C663D4f63E1C7F0444D1DdA8c4951AD65F1E', '0x43f7C663D4f63E1C7F0444D1DdA8c4951AD65F1E', '0x43f7C663D4f63E1C7F0444D1DdA8c4951AD65F1E', '0x43f7C663D4f63E1C7F0444D1DdA8c4951AD65F1E', '0x43f7C663D4f63E1C7F0444D1DdA8c4951AD65F1E', '0x43f7C663D4f63E1C7F0444D1DdA8c4951AD65F1E', '0x43f7C663D4f63E1C7F0444D1DdA8c4951AD65F1E', '0x43f7C663D4f63E1C7F0444D1DdA8c4951AD65F1E', '0x43f7C663D4f63E1C7F0444D1DdA8c4951AD65F1E', '0x43f7C663D4f63E1C7F0444D1DdA8c4951AD65F1E', '0x43f7C663D4f63E1C7F0444D1DdA8c4951AD65F1E', '0x43f7C663D4f63E1C7F0444D1DdA8c4951AD65F1E', '0x43f7C663D4f63E1C7F0444D1DdA8c4951AD65F1E', '0x43f7C663D4f63E1C7F0444D1DdA8c4951AD65F1E', '0x43f7C663D4f63E1C7F0444D1DdA8c4951AD65F1E', '0x43f7C663D4f63E1C7F0444D1DdA8c4951AD65F1E', '0x43f7C663D4f63E1C7F0444D1DdA8c4951AD65F1E', '0x43f7C663D4f63E1C7F0444D1DdA8c4951AD65F1E', '0x43f7C663D4f63E1C7F0444D1DdA8c4951AD65F1E', '0x43f7C663D4f63E1C7F0444D1DdA8c4951AD65F1E']>
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 20 unusual user behaviors. Identified 20 trend anomalies. Discovered 20 time-based irregularities. Identified 20 suspicious wallet communities. Found 20 rapid multi-hop layering patterns. Discovered 20 coordinated wallet clusters. Located 20 suspicious transactions.
Overall Risk Assessment: Very High
Risk Level Analysis:
The wallet has been classified as VERY HIGH RISK with a risk score of 100/100 (Base: 1, Additional: +160) based on the following specific findings:
- SEREVE: 20 rapid multi-hop layering patterns detected - HIGH: 20 suspicious wallet communities detected
Other Findings: - 20 unusual user behaviors detected, - 20 coordinated wallet clusters detected, - 20 trend anomalies detected, - 20 time-based irregularities detected, - 20 suspicious transactions detected This classification indicates an IMMEDIATE REGULATORY RISK and potential illicit activity. We recommend: - Urgent escalation to compliance and security teams - Detailed investigation of all suspicious transactions - Consideration of filing regulatory reports - Implementation of blocks or enhanced transaction monitoring
No network-based suspicious activities detected. The wallet's network connections appear normal.
0xe056b9c202b3ef5f9d267c60f5a7fe7a6b2480e76ab445f7376af3da3fce298b: Very short time between transactions
0xa3b0f058ef8418ff6740c9bb61e1da2b2d3a65ad67dae3459534f72a8ad069f8: Very short time between transactions
0x2df3437b78e798caa9bdb24e1b40e828e9453aae4b3e36a356193ab035e91462: Very short time between transactions
0x88e853f0d5f242613d471bfad447cd1a0ad86d33207ce5b34784e48d9d12b673: Very short time between transactions
0x35c544344d4332827c50db8b9acb373d5203a0f68e0fcec873e4add8567b1722: Very short time between transactions
0xb33e0d3913d93026d0de83d411993dcb825d5b8a88d43951bbac59c429e26d9d:
0xb0179ecec384aed550b6d52ef1fa67494aee1101e076a10a3c83c92530639fc3: Very short time between transactions
0xa824eee8b1e51688cdacb2fc2046318f64ba0624eec3c6edebea42e6bde0634e: Very short time between transactions
0x817bd7f63e8445fc51cef2897ad2c16c516da6a66d60c247f69d87ad1019935e: Very short time between transactions
0x24da6e7a7b7d803f37658003b19db6d859e790acd309cb3ccc5e5c2a34f49c1f: Very short time between transactions
0x7cee8d30d8bd95b95a63eba3d09ed46b88f2c7bb44e516f6f142902a027ea4c1: Very short time between transactions
0xac3fd33121bc691056df1c89d088536a1596469fba3d3d7e8811849b7b9091c2: Very short time between transactions
0xd8ad9c198b68bcfaae12c50f61647a299cd17c904507a99d3cd054f50d7e3e5a: Very short time between transactions
0x0e557ec2a2701bb2e9b4b479b667a683bd101c8867bcdfd6a93dcd850a839a27: Very short time between transactions
0x6915fa9c931a1faecdbede7acf0c64ec175ab71b19130799eac3e1a338ad8112: Very short time between transactions
0x1e77a5efc56c97cd3c36dabd234fe4fe72de7e49b66733e0117b2757cf8560f0: Very short time between transactions
0xfe139df6e63d7d05adbf2f3098918fcb022814681d83040d12dbce820ccf42d4: Very short time between transactions
0xa10f4ba1011d5d4b78a6f0c800e9835c89650dc85bb3392f505932795b3ae2dc: Very short time between transactions
0x9d517b3599b42eef751adbe822847e0049fda82ea701efbefe70232a97f335ae: Very short time between transactions
0x30001e52cb090bf42ff9b134b115e57f8e22694cdc0733192fdff5d30c4a18d9: Very short time between transactions
0xe056b9c202b3ef5f9d267c60f5a7fe7a6b2480e76ab445f7376af3da3fce298b:
0xa3b0f058ef8418ff6740c9bb61e1da2b2d3a65ad67dae3459534f72a8ad069f8:
0x2df3437b78e798caa9bdb24e1b40e828e9453aae4b3e36a356193ab035e91462:
0x88e853f0d5f242613d471bfad447cd1a0ad86d33207ce5b34784e48d9d12b673:
0x35c544344d4332827c50db8b9acb373d5203a0f68e0fcec873e4add8567b1722:
0xb33e0d3913d93026d0de83d411993dcb825d5b8a88d43951bbac59c429e26d9d:
0xb0179ecec384aed550b6d52ef1fa67494aee1101e076a10a3c83c92530639fc3:
0xa824eee8b1e51688cdacb2fc2046318f64ba0624eec3c6edebea42e6bde0634e:
0x817bd7f63e8445fc51cef2897ad2c16c516da6a66d60c247f69d87ad1019935e:
0x24da6e7a7b7d803f37658003b19db6d859e790acd309cb3ccc5e5c2a34f49c1f:
0x7cee8d30d8bd95b95a63eba3d09ed46b88f2c7bb44e516f6f142902a027ea4c1:
0xac3fd33121bc691056df1c89d088536a1596469fba3d3d7e8811849b7b9091c2:
0xd8ad9c198b68bcfaae12c50f61647a299cd17c904507a99d3cd054f50d7e3e5a:
0x0e557ec2a2701bb2e9b4b479b667a683bd101c8867bcdfd6a93dcd850a839a27:
0x6915fa9c931a1faecdbede7acf0c64ec175ab71b19130799eac3e1a338ad8112:
0x1e77a5efc56c97cd3c36dabd234fe4fe72de7e49b66733e0117b2757cf8560f0:
0xfe139df6e63d7d05adbf2f3098918fcb022814681d83040d12dbce820ccf42d4:
0xa10f4ba1011d5d4b78a6f0c800e9835c89650dc85bb3392f505932795b3ae2dc:
0x9d517b3599b42eef751adbe822847e0049fda82ea701efbefe70232a97f335ae:
0x30001e52cb090bf42ff9b134b115e57f8e22694cdc0733192fdff5d30c4a18d9:
0xe056b9c202b3ef5f9d267c60f5a7fe7a6b2480e76ab445f7376af3da3fce298b: High frequency transactions (less than 1 minute interval)
0xa3b0f058ef8418ff6740c9bb61e1da2b2d3a65ad67dae3459534f72a8ad069f8: High frequency transactions (less than 1 minute interval)
0x2df3437b78e798caa9bdb24e1b40e828e9453aae4b3e36a356193ab035e91462: High frequency transactions (less than 1 minute interval)
0x88e853f0d5f242613d471bfad447cd1a0ad86d33207ce5b34784e48d9d12b673: High frequency transactions (less than 1 minute interval)
0x35c544344d4332827c50db8b9acb373d5203a0f68e0fcec873e4add8567b1722: High frequency transactions (less than 1 minute interval)
0xb33e0d3913d93026d0de83d411993dcb825d5b8a88d43951bbac59c429e26d9d: High frequency transactions (less than 1 minute interval)
0xb0179ecec384aed550b6d52ef1fa67494aee1101e076a10a3c83c92530639fc3: High frequency transactions (less than 1 minute interval)
0xa824eee8b1e51688cdacb2fc2046318f64ba0624eec3c6edebea42e6bde0634e: High frequency transactions (less than 1 minute interval)
0x817bd7f63e8445fc51cef2897ad2c16c516da6a66d60c247f69d87ad1019935e: High frequency transactions (less than 1 minute interval)
0x24da6e7a7b7d803f37658003b19db6d859e790acd309cb3ccc5e5c2a34f49c1f: High frequency transactions (less than 1 minute interval)
0x7cee8d30d8bd95b95a63eba3d09ed46b88f2c7bb44e516f6f142902a027ea4c1: High frequency transactions (less than 1 minute interval)
0xac3fd33121bc691056df1c89d088536a1596469fba3d3d7e8811849b7b9091c2: High frequency transactions (less than 1 minute interval)
0xd8ad9c198b68bcfaae12c50f61647a299cd17c904507a99d3cd054f50d7e3e5a: High frequency transactions (less than 1 minute interval)
0x0e557ec2a2701bb2e9b4b479b667a683bd101c8867bcdfd6a93dcd850a839a27: High frequency transactions (less than 1 minute interval)
0x6915fa9c931a1faecdbede7acf0c64ec175ab71b19130799eac3e1a338ad8112: High frequency transactions (less than 1 minute interval)
0x1e77a5efc56c97cd3c36dabd234fe4fe72de7e49b66733e0117b2757cf8560f0: High frequency transactions (less than 1 minute interval)
0xfe139df6e63d7d05adbf2f3098918fcb022814681d83040d12dbce820ccf42d4: High frequency transactions (less than 1 minute interval)
0xa10f4ba1011d5d4b78a6f0c800e9835c89650dc85bb3392f505932795b3ae2dc: High frequency transactions (less than 1 minute interval)
0x9d517b3599b42eef751adbe822847e0049fda82ea701efbefe70232a97f335ae: High frequency transactions (less than 1 minute interval)
0x30001e52cb090bf42ff9b134b115e57f8e22694cdc0733192fdff5d30c4a18d9: High frequency transactions (less than 1 minute interval)
Suspicious Transactions
| Transaction Hash | Risk Score | Risk Factors |
|---|---|---|
0xe056b9c…
|
51
High
|
Transaction amount significantly higher than user average
Common spending heuristic triggered
Very short time between transactions
Anomaly detected by Isolation Forest
High volume of small transactions to the same wallet
Related to high-risk transaction ['0xc2bb24c1095466f4a6c15936a1ed5bceb23e6862c8c489201385d6ef2eea5bd9'] (score: 85)
Transaction amount significantly higher than average
High frequency transactions (less than 1 minute interval)
|
0xb33e0d3…
|
40
High
|
Common spending heuristic triggered
Very short time between transactions
Short time frame between transactions
High volume of small transactions to the same wallet
Transaction amount halved compared to previous transaction
Transaction amount significantly lower than average
High frequency transactions (less than 1 minute interval)
|
0xb0179ec…
|
35
Medium
|
Common spending heuristic triggered
Anomaly detected by Isolation Forest
Low transaction fee
High volume of small transactions to the same wallet
Related to high-risk transaction ['0xc2bb24c1095466f4a6c15936a1ed5bceb23e6862c8c489201385d6ef2eea5bd9'] (score: 85)
Transaction amount doubled compared to previous transaction
|
0xa3b0f05…
|
42
High
|
Common spending heuristic triggered
Very short time between transactions
Short time frame between transactions
Low transaction fee
High volume of small transactions to the same wallet
Transaction amount halved compared to previous transaction
Transaction amount significantly lower than average
High frequency transactions (less than 1 minute interval)
|
0xa824eee…
|
35
Medium
|
Common spending heuristic triggered
Anomaly detected by Isolation Forest
Low transaction fee
High volume of small transactions to the same wallet
Related to high-risk transaction ['0xc2bb24c1095466f4a6c15936a1ed5bceb23e6862c8c489201385d6ef2eea5bd9'] (score: 85)
Transaction amount doubled compared to previous transaction
|
0x2df3437…
|
42
High
|
Common spending heuristic triggered
Very short time between transactions
Short time frame between transactions
Low transaction fee
High volume of small transactions to the same wallet
Transaction amount halved compared to previous transaction
Transaction amount significantly lower than average
High frequency transactions (less than 1 minute interval)
|
0x817bd7f…
|
38
Medium
|
Common spending heuristic triggered
Anomaly detected by Isolation Forest
High volume of small transactions to the same wallet
Related to high-risk transaction ['0xc2bb24c1095466f4a6c15936a1ed5bceb23e6862c8c489201385d6ef2eea5bd9'] (score: 85)
Transaction amount doubled compared to previous transaction
Transaction amount significantly higher than average
|
0x88e853f…
|
42
High
|
Common spending heuristic triggered
Very short time between transactions
Short time frame between transactions
Low transaction fee
High volume of small transactions to the same wallet
Transaction amount halved compared to previous transaction
Transaction amount significantly lower than average
High frequency transactions (less than 1 minute interval)
|
0x35c5443…
|
44
High
|
Transaction amount significantly higher than user average
Related to 6 high-risk transactions (highest score: 85)
Common spending heuristic triggered
Anomaly detected by Isolation Forest
High volume of small transactions to the same wallet
Transaction amount doubled compared to previous transaction
Transaction amount significantly higher than average
|
0x24da6e7…
|
40
High
|
Common spending heuristic triggered
Very short time between transactions
Short time frame between transactions
High volume of small transactions to the same wallet
Transaction amount halved compared to previous transaction
Transaction amount significantly lower than average
High frequency transactions (less than 1 minute interval)
|
0x7cee8d3…
|
40
High
|
Common spending heuristic triggered
Very short time between transactions
Short time frame between transactions
High volume of small transactions to the same wallet
Transaction amount halved compared to previous transaction
Transaction amount significantly lower than average
High frequency transactions (less than 1 minute interval)
|
0xac3fd33…
|
40
High
|
Common spending heuristic triggered
Very short time between transactions
Short time frame between transactions
High volume of small transactions to the same wallet
Transaction amount halved compared to previous transaction
Transaction amount significantly lower than average
High frequency transactions (less than 1 minute interval)
|
0xd8ad9c1…
|
40
High
|
Common spending heuristic triggered
Very short time between transactions
Short time frame between transactions
High volume of small transactions to the same wallet
Transaction amount halved compared to previous transaction
Transaction amount significantly lower than average
High frequency transactions (less than 1 minute interval)
|
0x0e557ec…
|
40
High
|
Common spending heuristic triggered
Very short time between transactions
Short time frame between transactions
High volume of small transactions to the same wallet
Transaction amount halved compared to previous transaction
Transaction amount significantly lower than average
High frequency transactions (less than 1 minute interval)
|
0x6915fa9…
|
40
High
|
Common spending heuristic triggered
Very short time between transactions
Short time frame between transactions
High volume of small transactions to the same wallet
Transaction amount halved compared to previous transaction
Transaction amount significantly lower than average
High frequency transactions (less than 1 minute interval)
|
0x1e77a5e…
|
40
High
|
Common spending heuristic triggered
Very short time between transactions
Short time frame between transactions
High volume of small transactions to the same wallet
Transaction amount halved compared to previous transaction
Transaction amount significantly lower than average
High frequency transactions (less than 1 minute interval)
|
0xfe139df…
|
40
High
|
Common spending heuristic triggered
Very short time between transactions
Short time frame between transactions
High volume of small transactions to the same wallet
Transaction amount halved compared to previous transaction
Transaction amount significantly lower than average
High frequency transactions (less than 1 minute interval)
|
0xa10f4ba…
|
38
Medium
|
Related to 6 high-risk transactions (highest score: 85)
Common spending heuristic triggered
Anomaly detected by Isolation Forest
High volume of small transactions to the same wallet
Transaction amount doubled compared to previous transaction
Transaction amount significantly higher than average
|
0x9d517b3…
|
42
High
|
Related to 6 high-risk transactions (highest score: 85)
Common spending heuristic triggered
Anomaly detected by Isolation Forest
High volume of small transactions to the same wallet
Local Outlier Factor (LOF) detected as anomaly
Transaction amount doubled compared to previous transaction
|
0x30001e5…
|
35
Medium
|
Related to 6 high-risk transactions (highest score: 85)
Common spending heuristic triggered
Anomaly detected by Isolation Forest
Low transaction fee
High volume of small transactions to the same wallet
Transaction amount doubled compared to previous transaction
|
Showing 1 to 10 of 0 transactions
Advanced Analysis Findings
No local outlier anomalies detected. All transactions appear statistically normal.
0xe056b9c202b3ef5f9d267c60f5a7fe7a6b2480e76ab445f7376af3da3fce298b: Part of suspicious wallet community
0xa3b0f058ef8418ff6740c9bb61e1da2b2d3a65ad67dae3459534f72a8ad069f8: Part of suspicious wallet community
0x2df3437b78e798caa9bdb24e1b40e828e9453aae4b3e36a356193ab035e91462: Part of suspicious wallet community
0x88e853f0d5f242613d471bfad447cd1a0ad86d33207ce5b34784e48d9d12b673: Part of suspicious wallet community
0x35c544344d4332827c50db8b9acb373d5203a0f68e0fcec873e4add8567b1722: Part of suspicious wallet community
0xb33e0d3913d93026d0de83d411993dcb825d5b8a88d43951bbac59c429e26d9d: Part of suspicious wallet community
0xb0179ecec384aed550b6d52ef1fa67494aee1101e076a10a3c83c92530639fc3: Part of suspicious wallet community
0xa824eee8b1e51688cdacb2fc2046318f64ba0624eec3c6edebea42e6bde0634e: Part of suspicious wallet community
0x817bd7f63e8445fc51cef2897ad2c16c516da6a66d60c247f69d87ad1019935e: Part of suspicious wallet community
0x24da6e7a7b7d803f37658003b19db6d859e790acd309cb3ccc5e5c2a34f49c1f: Part of suspicious wallet community
0x7cee8d30d8bd95b95a63eba3d09ed46b88f2c7bb44e516f6f142902a027ea4c1: Part of suspicious wallet community
0xac3fd33121bc691056df1c89d088536a1596469fba3d3d7e8811849b7b9091c2: Part of suspicious wallet community
0xd8ad9c198b68bcfaae12c50f61647a299cd17c904507a99d3cd054f50d7e3e5a: Part of suspicious wallet community
0x0e557ec2a2701bb2e9b4b479b667a683bd101c8867bcdfd6a93dcd850a839a27: Part of suspicious wallet community
0x6915fa9c931a1faecdbede7acf0c64ec175ab71b19130799eac3e1a338ad8112: Part of suspicious wallet community
0x1e77a5efc56c97cd3c36dabd234fe4fe72de7e49b66733e0117b2757cf8560f0: Part of suspicious wallet community
0xfe139df6e63d7d05adbf2f3098918fcb022814681d83040d12dbce820ccf42d4: Part of suspicious wallet community
0xa10f4ba1011d5d4b78a6f0c800e9835c89650dc85bb3392f505932795b3ae2dc: Part of suspicious wallet community
0x9d517b3599b42eef751adbe822847e0049fda82ea701efbefe70232a97f335ae: Part of suspicious wallet community
0x30001e52cb090bf42ff9b134b115e57f8e22694cdc0733192fdff5d30c4a18d9: Part of suspicious wallet community
0xe056b9c202b3ef5f9d267c60f5a7fe7a6b2480e76ab445f7376af3da3fce298b: Rapid multi-hop layering pattern detected
0xa3b0f058ef8418ff6740c9bb61e1da2b2d3a65ad67dae3459534f72a8ad069f8: Rapid multi-hop layering pattern detected
0x2df3437b78e798caa9bdb24e1b40e828e9453aae4b3e36a356193ab035e91462: Rapid multi-hop layering pattern detected
0x88e853f0d5f242613d471bfad447cd1a0ad86d33207ce5b34784e48d9d12b673: Rapid multi-hop layering pattern detected
0x35c544344d4332827c50db8b9acb373d5203a0f68e0fcec873e4add8567b1722: Rapid multi-hop layering pattern detected
0xb33e0d3913d93026d0de83d411993dcb825d5b8a88d43951bbac59c429e26d9d: Rapid multi-hop layering pattern detected
0xb0179ecec384aed550b6d52ef1fa67494aee1101e076a10a3c83c92530639fc3: Rapid multi-hop layering pattern detected
0xa824eee8b1e51688cdacb2fc2046318f64ba0624eec3c6edebea42e6bde0634e: Rapid multi-hop layering pattern detected
0x817bd7f63e8445fc51cef2897ad2c16c516da6a66d60c247f69d87ad1019935e: Rapid multi-hop layering pattern detected
0x24da6e7a7b7d803f37658003b19db6d859e790acd309cb3ccc5e5c2a34f49c1f: Rapid multi-hop layering pattern detected
0x7cee8d30d8bd95b95a63eba3d09ed46b88f2c7bb44e516f6f142902a027ea4c1: Rapid multi-hop layering pattern detected
0xac3fd33121bc691056df1c89d088536a1596469fba3d3d7e8811849b7b9091c2: Rapid multi-hop layering pattern detected
0xd8ad9c198b68bcfaae12c50f61647a299cd17c904507a99d3cd054f50d7e3e5a: Rapid multi-hop layering pattern detected
0x0e557ec2a2701bb2e9b4b479b667a683bd101c8867bcdfd6a93dcd850a839a27: Rapid multi-hop layering pattern detected
0x6915fa9c931a1faecdbede7acf0c64ec175ab71b19130799eac3e1a338ad8112: Rapid multi-hop layering pattern detected
0x1e77a5efc56c97cd3c36dabd234fe4fe72de7e49b66733e0117b2757cf8560f0: Rapid multi-hop layering pattern detected
0xfe139df6e63d7d05adbf2f3098918fcb022814681d83040d12dbce820ccf42d4: Rapid multi-hop layering pattern detected
0xa10f4ba1011d5d4b78a6f0c800e9835c89650dc85bb3392f505932795b3ae2dc: Rapid multi-hop layering pattern detected
0x9d517b3599b42eef751adbe822847e0049fda82ea701efbefe70232a97f335ae: Rapid multi-hop layering pattern detected
0x30001e52cb090bf42ff9b134b115e57f8e22694cdc0733192fdff5d30c4a18d9: Rapid multi-hop layering pattern detected
0xe056b9c202b3ef5f9d267c60f5a7fe7a6b2480e76ab445f7376af3da3fce298b: Part of coordinated wallet cluster
0xa3b0f058ef8418ff6740c9bb61e1da2b2d3a65ad67dae3459534f72a8ad069f8: Part of coordinated wallet cluster
0x2df3437b78e798caa9bdb24e1b40e828e9453aae4b3e36a356193ab035e91462: Part of coordinated wallet cluster
0x88e853f0d5f242613d471bfad447cd1a0ad86d33207ce5b34784e48d9d12b673: Part of coordinated wallet cluster
0x35c544344d4332827c50db8b9acb373d5203a0f68e0fcec873e4add8567b1722: Part of coordinated wallet cluster
0xb33e0d3913d93026d0de83d411993dcb825d5b8a88d43951bbac59c429e26d9d: Part of coordinated wallet cluster
0xb0179ecec384aed550b6d52ef1fa67494aee1101e076a10a3c83c92530639fc3: Part of coordinated wallet cluster
0xa824eee8b1e51688cdacb2fc2046318f64ba0624eec3c6edebea42e6bde0634e: Part of coordinated wallet cluster
0x817bd7f63e8445fc51cef2897ad2c16c516da6a66d60c247f69d87ad1019935e: Part of coordinated wallet cluster
0x24da6e7a7b7d803f37658003b19db6d859e790acd309cb3ccc5e5c2a34f49c1f: Part of coordinated wallet cluster
0x7cee8d30d8bd95b95a63eba3d09ed46b88f2c7bb44e516f6f142902a027ea4c1: Part of coordinated wallet cluster
0xac3fd33121bc691056df1c89d088536a1596469fba3d3d7e8811849b7b9091c2: Part of coordinated wallet cluster
0xd8ad9c198b68bcfaae12c50f61647a299cd17c904507a99d3cd054f50d7e3e5a: Part of coordinated wallet cluster
0x0e557ec2a2701bb2e9b4b479b667a683bd101c8867bcdfd6a93dcd850a839a27: Part of coordinated wallet cluster
0x6915fa9c931a1faecdbede7acf0c64ec175ab71b19130799eac3e1a338ad8112: Part of coordinated wallet cluster
0x1e77a5efc56c97cd3c36dabd234fe4fe72de7e49b66733e0117b2757cf8560f0: Part of coordinated wallet cluster
0xfe139df6e63d7d05adbf2f3098918fcb022814681d83040d12dbce820ccf42d4: Part of coordinated wallet cluster
0xa10f4ba1011d5d4b78a6f0c800e9835c89650dc85bb3392f505932795b3ae2dc: Part of coordinated wallet cluster
0x9d517b3599b42eef751adbe822847e0049fda82ea701efbefe70232a97f335ae: Part of coordinated wallet cluster
0x30001e52cb090bf42ff9b134b115e57f8e22694cdc0733192fdff5d30c4a18d9: Part of coordinated wallet cluster
No connections to sanctioned addresses detected. No regulatory compliance concerns identified.
Suspicious Activities
High Risk Patterns:
- Mixing Services: 0 instances detected
- High Value Transfers: 20 transactions
- Unusual Patterns: 0 cases identified
Temporal Analysis:
- Sudden Balance Changes:
- Transaction Frequency:
• Daily: 20 transactions
• Weekly: 20 transactions
Network Metrics:
- Risk Connections: 0 identified
- Flagged Interactions: 0 detected
Advanced Detection:
- Local Outlier Anomalies: 0 detected
- Suspicious Communities: 20 identified
- Layering Patterns: 20 found
- Coordinated Clusters: 20 observed
- Sanctioned Address Links: 0 discovered
Risk Assessment:
- Overall Risk Score: 40.20
- High Risk Activities: 20 instances
Conclusions & Recommendations
Conclusions
Based on our comprehensive analysis of wallet 0x43f7C663D4f63E1C7F0444D1DdA8c4951AD65F1E, we have reached the following key conclusions:
1. Risk Assessment Overview
- Overall Risk Score: 40.20/1.00
- 20 High Risk Activities Identified
- 0 Suspicious Network Connections
2. Transaction Pattern Analysis
- Detected 0 instances of potential mixing service usage
- Identified 20 high-value transfers requiring attention
- Observed 0 unusual transaction patterns
3. Temporal Behavior
- Daily Transaction Volume: 20 transactions
- Weekly Transaction Volume: 20 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
- 0 local outlier anomalies indicating unusual transaction characteristics
- 20 suspicious wallet communities suggesting coordinated activities
- 20 layering patterns potentially obscuring transaction origins
- 20 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 0x43f7C663D4f63E1C7F0444D1DdA8c4951AD65F1E, 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
- 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
- Monitor detected layering patterns closely
- Implement hop analysis for multi-stage transactions
- Set alerts for rapid multi-hop transaction sequences
- Track coordinated wallet cluster activity
- Monitor for new addresses joining identified clusters
- Analyze temporal patterns across clustered wallets
5. Compliance Actions
6. Future Monitoring Strategy
- Frequency: Daily monitoring recommended due to high risk factors
- Scope: Focus on Transaction amount significantly higher than user average, Related to 6 high-risk transactions (highest score: 85), Common spending heuristic triggered 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.
Contact Information
Report Information
Author
Batuhan Aydın
Published Date
August 06, 2025
Views
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