Resolve Exploiter Wallet 0x8ed84631275fd5ec97216e8a404328830d98b81c Analysis Report
Published
22 Mar 2026
2 views
Wallet Name
Resolv Exploiter 4
Overview
Project Scope
This report assesses the risk profile of Ethereum wallet address 0x8ed84631275fd5ec97216e8a404328830d98b81c. The primary objective is to identify potential Anti-Money Laundering (AML) and fraud risks associated with the wallet's transactional behavior. The wallet has been flagged as 'Very High' risk, with a final risk score of 100 and a total of 38 identified issues.
Suspicious Wallet Hash
0x8ed84631275fd5ec97216e8a404328830d98b81c
This is the primary wallet address being investigated in this report.
Methodology
Research Methodology
The analysis employed a multi-faceted approach, incorporating network analysis, user behavior profiling, trend analysis, time-series analysis, outlier detection using Local Outlier Factor (LOF), community detection, and layering pattern recognition. These techniques were applied to identify deviations from expected transactional behavior and potential indicators of illicit activity. The analysis also considered potential connections to sanctioned entities, though no matches were found.
Data Collection
Transaction data for the specified Ethereum wallet was sourced from a blockchain analytics platform. Data integrity was verified through cryptographic hash validation and cross-referencing with multiple independent data providers to ensure accuracy and completeness.
Data Preprocessing
The raw transaction data underwent a preprocessing stage to extract relevant features for analysis. This included calculating transaction frequencies, amounts, and time intervals. Data cleaning procedures were applied to handle missing or inconsistent data points. Feature engineering was performed to create variables relevant to AML risk assessment, such as repetitive transaction patterns and structuring indicators.
Design Pattern
No design pattern information is available for this report.
Analysis
The analysis reveals a 'Very High' risk profile for the target wallet, driven by several suspicious activity indicators. The standardized risk score is 94, further boosted by an additional risk boost of 15, resulting in a final risk score of 100. Key drivers include frequent instances of very short time frames between transactions, repetitive transaction amounts, and participation in a suspicious wallet community. Temporal analysis highlights irregular timing patterns, potentially indicative of automated activity or coordinated actions. The Local Outlier Factor (LOF) algorithm identified anomalous transactions deviating significantly from the wallet's historical norm.
No network-based suspicious activities detected. The wallet's network connections appear normal.
The analysis identified very short time between transactions in 9 instance(s) (0x93c854fa8d7ad337afb5b08bd1693ccd2bd3e9e76407907108cf7277a0c6b662, 0xe14820dca9d9d4b1a9878933a4a860d62dc92179f00f046359a05fd9994930b1, 0x2ecd642c2b75b75943c2b567d2684e59845731267e869dc915fc48a5b2584376 and 6 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 8 specific time point(s) (0xe14820dca9d9d4b1a9878933a4a860d62dc92179f00f046359a05fd9994930b1, 0x2ecd642c2b75b75943c2b567d2684e59845731267e869dc915fc48a5b2584376, 0x24a49147755a03b2c36e3f4ed06979fbc6fe98b9082404bfe87cbedae0f00dab and 5 others). Irregular timing can be a sign of scripted bots or coordinated actions across time zones.
Temporal analysis revealed sudden burst of transactions to recipient at 5 specific time point(s) (0xad96a50049a41697cbae1113c0ba078fa109edb7b0790d8e2d61cb21fd74c564, 0x2fe6a483e96e175ac3222c72d895dff983d707a8fe6a1f8c92f9a6ca6cd00eac, 0x13936a71fa7bc8092bc8f5d6b178c1c30cf23d937602e9eb5f2c903598bcf172 and 2 others). Irregular timing can be a sign of scripted bots or coordinated actions across time zones.
Summary
Total Suspicious Transactions
10
Average Risk Score
63.2
Top Tags
High Risk (10)
Unusual Pattern (7)
Mixing Service (7)
Structuring (6)
Regulatory Evasion (6)
Anomalous Activity (2)
Suspicious (2)
Suspicious Transactions
| Transaction Hash | Network | Risk Score | Risk Factors | Tags |
|---|---|---|---|---|
0x9c1e7a6…
|
ethereum |
57
Medium
|
Short time frame between transactions
Repetitive transaction amount
Very short time between transactions
Equal amount mixing pattern
Timing correlation detected
Related to high-risk transaction
|
High Risk
Mixing Service
|
0x2ecd642…
|
ethereum |
61
Medium
|
Short time frame between transactions
Repetitive transaction amount
Very short time between transactions
Equal amount mixing pattern
Timing correlation detected
Related to multiple high-risk transactions
|
High Risk
Mixing Service
|
0x24a4914…
|
ethereum |
65
Medium
|
Short time frame between transactions
Repetitive transaction amount
Low transaction fee
AI Anomaly: Irregular Transaction Pattern detected
Very short time between transactions
Transaction amount halved compared to previous
Transaction amount significantly lower than historical average
Equal amount mixing pattern
Related to multiple high-risk transactions
|
High Risk
Unusual Pattern
Anomalous Activity
|
0xad96a50…
|
ethereum |
59
Medium
|
Short time frame between transactions
Repetitive transaction amount
Very short time between transactions
Equal amount mixing pattern
Outgoing structuring detected
Related to high-risk transaction
|
Structuring
High Risk
Unusual Pattern
Regulatory Evasion
|
0x2fe6a48…
|
ethereum |
59
Medium
|
Short time frame between transactions
Repetitive transaction amount
Very short time between transactions
Equal amount mixing pattern
Outgoing structuring detected
Related to high-risk transaction
|
Structuring
High Risk
Unusual Pattern
Regulatory Evasion
|
0x13936a7…
|
ethereum |
63
Medium
|
Short time frame between transactions
Repetitive transaction amount
Equal amount mixing pattern
Timing correlation detected
Outgoing structuring detected
Related to high-risk transaction
|
Structuring
High Risk
Unusual Pattern
Mixing Service
Regulatory Evasion
|
0x05f2aca…
|
ethereum |
74
High
|
Short time frame between transactions
Repetitive transaction amount
Very short time between transactions
Equal amount mixing pattern
Timing correlation detected
Outgoing structuring detected
Related to multiple high-risk transactions
|
Structuring
High Risk
Unusual Pattern
Mixing Service
Regulatory Evasion
|
0xdd71dd6…
|
ethereum |
74
High
|
Short time frame between transactions
Repetitive transaction amount
Very short time between transactions
Equal amount mixing pattern
Timing correlation detected
Outgoing structuring detected
Related to multiple high-risk transactions
|
Structuring
High Risk
Unusual Pattern
Mixing Service
Regulatory Evasion
|
0x93c854f…
|
ethereum |
61
Medium
|
Short time frame between transactions
Repetitive transaction amount
Low transaction fee
Very short time between transactions
Transaction amount halved compared to previous
Transaction amount significantly lower than historical average
Equal amount mixing pattern
Timing correlation detected
Related to high-risk transaction
|
Suspicious
Mixing Service
High Risk
Anomalous Activity
|
0xe14820d…
|
ethereum |
59
Medium
|
Short time frame between transactions
Repetitive transaction amount
Very short time between transactions
Transaction amount doubled compared to previous
Equal amount mixing pattern
Outgoing structuring detected
Related to high-risk transaction
|
Suspicious
Mixing Service
Structuring
High Risk
Unusual Pattern
Regulatory Evasion
|
Showing 1 to 10 of 0 transactions
Advanced Analysis Findings
Our Local Outlier Factor (LOF) algorithm flagged 1 transaction(s) as statistical outliers due to local outlier factor (lof) detected as anomaly (0x9c1e7a63c8e446b9af18de2bdc170a541990ef40769e8c1e33129173dfa7bb45). 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 10 related transaction(s) (0x93c854fa8d7ad337afb5b08bd1693ccd2bd3e9e76407907108cf7277a0c6b662, 0xe14820dca9d9d4b1a9878933a4a860d62dc92179f00f046359a05fd9994930b1, 0x9c1e7a63c8e446b9af18de2bdc170a541990ef40769e8c1e33129173dfa7bb45 and 7 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
Several notable patterns of suspicious activity were identified. A sample of suspicious transactions includes: 0x9c1e7a63c8e446b9af18de2bdc170a541990ef40769e8c1e33129173dfa7bb45, flagged as a statistical outlier by the LOF algorithm; 0x2ecd642c2b75b75943c2b567d2684e59845731267e869dc915fc48a5b2584376, exhibiting short time frames between transactions and repetitive transaction amounts; and 0x24a49147755a03b2c36e3f4ed06979fbc6fe98b9082404bfe87cbedae0f00dab, flagged by AI for irregular transaction patterns. Multiple transactions (e.g., 0xad96a50049a41697cbae1113c0ba078fa109edb7b0790d8e2d61cb21fd74c564, 0x2fe6a483e96e175ac3222c72d895dff983d707a8fe6a1f8c92f9a6ca6cd00eac, 0x13936a71fa7bc8092bc8f5d6b178c1c30cf23d937602e9eb5f2c903598bcf172) show signs of outgoing structuring. The wallet's involvement in a suspicious wallet community, encompassing 10 related transactions, further elevates the risk profile.
Conclusions & Recommendations
Conclusions
Based on the analysis, wallet address 0x8ed84631275fd5ec97216e8a404328830d98b81c presents a 'Very High' risk for potential AML and fraud concerns. The combination of rapid transaction frequencies, repetitive transaction amounts, AI-detected anomalies, outlier transactions, structuring patterns, and community affiliations warrants immediate attention and further investigation.
Recommendations
Due to the 'Very High' risk level, it is recommended that enhanced due diligence be conducted on this wallet. This should include: 1) Freezing the wallet's assets pending further investigation. 2) Filing a Suspicious Activity Report (SAR) with the appropriate regulatory authorities. 3) Conducting a thorough investigation of the wallet's transaction history and counterparties to determine the source and destination of funds. 4) Implementing continuous monitoring of the wallet's activity for any further suspicious behavior. 5) Consulting with legal counsel to ensure compliance with all applicable regulations.
Severity Assessment
100 (Very High)
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.
Images & Visualizations
Report Information
Author
Batuhan Aydın
Published Date
March 22, 2026
Views
2
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