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Lazarus High Risk Bybit Hacking Investigation [CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001] - Wallet Analysis Report - Very High Risk - 0x295f...77f7

Published 14 Jul 2025 8 views
Wallet Name Analysis Target Wallet (CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001) - 0x295f...77f7
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Overview

Project Scope

Analysis of wallet 0x295fe304997066fadc4daf2c9a2e040e157e77f7 - Lazarus High Risk Bybit Hacking Investigation

Suspicious Wallet Hash

0x295fe304997066fadc4daf2c9a2e040e157e77f7
This is the primary wallet address being investigated in this report.

Methodology

Research Methodology

Automated Analysis Methodology for Wallet 0x295fe304997066fadc4daf2c9a2e040e157e77f7 1. Data Collection - Automated transaction retrieval from blockchain - Historical transaction pattern analysis - Network connection mapping 2. Analysis Algorithms - Multi-algorithm approach using 33 detection methods - Statistical anomaly detection - Behavioral pattern analysis - Network-based risk assessment 3. Risk Scoring - Weighted risk factor calculation - Multi-dimensional analysis - Historical comparison baseline - Real-time pattern detection 4. Report Generation - Automated findings compilation - Risk level determination - Recommendation synthesis - Compliance-ready documentation

Data Collection

Data Collection Process for 0x295fe304997066fadc4daf2c9a2e040e157e77f7 1. Blockchain Data Retrieval - Retrieved 33 analysis data points - Collected complete transaction history - Gathered network connection data 2. Analysis Processing - Applied multiple detection algorithms - Performed statistical analysis - Generated risk indicators - Created behavioral profiles 3. Quality Assurance - Data validation checks - Algorithm consistency verification - Result accuracy confirmation

Data Preprocessing

Data Preprocessing Steps: 1. Data Cleaning - Removed duplicate transactions - Standardized timestamp formats - Validated transaction data integrity 2. Feature Engineering - Created time-based features - Calculated statistical metrics - Generated network features 3. Normalization - Applied consistent scaling - Handled missing values - Optimized for analysis algorithms

Design Pattern

No design pattern information is available for this report.

Analysis

General Analysis Summary for 0x295fe304997066fadc4daf2c9a2e040e157e77f7

Risk Level: Very High Risk Score: 100/100 Total Issues Identified: 129 Suspicious Transactions: 33

Key Findings: - Automated analysis detected 33 suspicious transactions - Risk assessment indicates very high risk level - 129 total suspicious patterns identified across all algorithms - Standardized risk score: 100/100

Analysis Confidence: High (automated multi-algorithm approach) Recommendation: Immediate investigation required

No suspicious patterns detected.
0xb37c0460e437a9a609a9741260ecb01abe5bd67f2483c3578d17055b78511942: Very short time between transactions 0xf222253f39321337a328a793bf403dc052dd30df48c6940e72a0e6cdd7a3675c: Very short time between transactions 0x5bf5555fae7420d7573411e173c715021c08ade75dbefe6134cd25d501760a09: Very short time between transactions 0xd10b9d2803643a84862290fe39646a17780f4d4cc5b558580e8ea6d950eaff20: Very short time between transactions 0xa79da4c864fb98807fb4e924799bd5f1b79d291ec14740737adaa1f88acbaec2: Very short time between transactions 0xca4a4986dce4989686ae7862251c775f9d4b296b1e16d88400a19cd484751c15: Very short time between transactions 0x2e28fbe327cb9b00baebbb13469f63ffb244f1ee5c3257db89672696ef07f8c6: Very short time between transactions 0x0acbf4f1b954adf6bc272ec8248ecf815ad2ba22e028a0482236b5ae2f74a42a: Very short time between transactions 0x62c43e348a2e67aadfea822e5092b7b68c437a2858d1cfe3a0850375040e095c: Very short time between transactions 0x6a715ed697d072593ba9457828f0faf5490afe465736e8ea04373531ef65e62a: Very short time between transactions 0x1e022212345bcf26dfec7dde7800b12da6dd3e49057426922178ef15ce188657: Very short time between transactions 0xa7aa7ce70b6f46abf63e95c87697c566c4f8f28ae7cfb75a50fdaea68a114a6a: Very short time between transactions 0xa81947b46df3f39e3768b7c18948e268a4aa90f18abcee04e1746c04df99801e: Very short time between transactions 0x618f1b1c6d9cc101d8f1ec2a9c08a481f323f2605273ba6ef4819bdc1ef99c77: Very short time between transactions 0x3118a289aae03bd25c0acd915f8ac4523674e2e6938b925b63e628aa01082ed1: Very short time between transactions 0xc1cb73e6dc50832375d3d8c9e0f6cdc8c55c44df756b4006a37b9aefec8871b5: Very short time between transactions 0xaefdc43afa15f5d02ca1cccc01fe7db5d170dad942db3418a3aba8b1baccaffe: Very short time between transactions 0xc3106b9e88f6cc30918c1d538e943690b662458594053db779586e8fc26e3bef: Very short time between transactions 0x765a1b325793404c9a42e9307558423c6b318c23db97c62dc3b6448b4378c1fe: Very short time between transactions 0x9fe54349ad0acb20c792367d320998fc79cde96c0b2642e4da4c7a0c588b6f4a: Very short time between transactions 0xe1fd8f0e9574cdcc0796b35ae3c57fcfeedade0956dc1cd1d06f545aa66d753c: Very short time between transactions 0x0fcb63f1d2683ef9082a4cb5345fe2dc6c87877cdc5a8105ac5b7fe42ed5d720: Very short time between transactions 0x93ea89b70b10839271209140bc8d05052e7ac202bb1ec3eaf4f24026fc2a9980: Very short time between transactions 0xe0f971d5a6f3f2daf8a228f451867ef9d2446b203e7da4665f46bee7439471a3: Very short time between transactions 0x76d6bab78103778104f5cde797b28d6f3ad3286eafadf412b130455d2166dfd9: Very short time between transactions 0x1d1626258a6b2db0ce4bc1a98d7fc3d5d4710d4827b1f1e7914f166b30d21d9c: Very short time between transactions 0x018ecdc77e5df3b26c827ebd7029fd057d6ac7af28a7a90af55493e4d5a9f0bf: Very short time between transactions 0x2fdbe4f73c3ad809e0fe9e6c48da60a43ccc2c51b4ff262d2dabb3a4fc1f72e7: Very short time between transactions 0x17152bd81cbeba6a5763eb09149e1077d17ca1dab57c64d80f1a96f31312556a: Very short time between transactions 0x6275e91ca9f65866c0341e4ae35fb12b7d1339bc6e58aac6357b5d1cc2f6e234: Very short time between transactions 0x9f6d81fd8a16575fb4034a8416d927a29bd93918c8ffcc9221a2b091cc10dace: Very short time between transactions 0x73e1acf8dfa7c7f8b19dc08510f41d285343ba26ff023fbe089bedf446d6a9e3: Very short time between transactions
0x5bf5555fae7420d7573411e173c715021c08ade75dbefe6134cd25d501760a09: Transaction amount significantly higher than average 0xd10b9d2803643a84862290fe39646a17780f4d4cc5b558580e8ea6d950eaff20: Transaction amount significantly higher than average 0xa79da4c864fb98807fb4e924799bd5f1b79d291ec14740737adaa1f88acbaec2: Transaction amount significantly higher than average 0x971aaa9461c4ea7d25d4a66f4f57a5b310e854662539c2dac9bdf0b3e3682345: Transaction amount significantly higher than average 0xca4a4986dce4989686ae7862251c775f9d4b296b1e16d88400a19cd484751c15: Transaction amount halved compared to previous transaction
0xb37c0460e437a9a609a9741260ecb01abe5bd67f2483c3578d17055b78511942: High frequency transactions (less than 1 minute interval) 0xf222253f39321337a328a793bf403dc052dd30df48c6940e72a0e6cdd7a3675c: High frequency transactions (less than 1 minute interval) 0xd10b9d2803643a84862290fe39646a17780f4d4cc5b558580e8ea6d950eaff20: High frequency transactions (less than 1 minute interval) 0xa79da4c864fb98807fb4e924799bd5f1b79d291ec14740737adaa1f88acbaec2: High frequency transactions (less than 1 minute interval) 0x2e28fbe327cb9b00baebbb13469f63ffb244f1ee5c3257db89672696ef07f8c6: High frequency transactions (less than 1 minute interval) 0x0acbf4f1b954adf6bc272ec8248ecf815ad2ba22e028a0482236b5ae2f74a42a: High frequency transactions (less than 1 minute interval) 0x62c43e348a2e67aadfea822e5092b7b68c437a2858d1cfe3a0850375040e095c: High frequency transactions (less than 1 minute interval) 0x6a715ed697d072593ba9457828f0faf5490afe465736e8ea04373531ef65e62a: High frequency transactions (less than 1 minute interval) 0x1e022212345bcf26dfec7dde7800b12da6dd3e49057426922178ef15ce188657: High frequency transactions (less than 1 minute interval) 0xa7aa7ce70b6f46abf63e95c87697c566c4f8f28ae7cfb75a50fdaea68a114a6a: High frequency transactions (less than 1 minute interval) 0xa81947b46df3f39e3768b7c18948e268a4aa90f18abcee04e1746c04df99801e: High frequency transactions (less than 1 minute interval) 0x618f1b1c6d9cc101d8f1ec2a9c08a481f323f2605273ba6ef4819bdc1ef99c77: High frequency transactions (less than 1 minute interval) 0x3118a289aae03bd25c0acd915f8ac4523674e2e6938b925b63e628aa01082ed1: High frequency transactions (less than 1 minute interval) 0xc1cb73e6dc50832375d3d8c9e0f6cdc8c55c44df756b4006a37b9aefec8871b5: High frequency transactions (less than 1 minute interval) 0xaefdc43afa15f5d02ca1cccc01fe7db5d170dad942db3418a3aba8b1baccaffe: High frequency transactions (less than 1 minute interval) 0xc3106b9e88f6cc30918c1d538e943690b662458594053db779586e8fc26e3bef: High frequency transactions (less than 1 minute interval) 0x765a1b325793404c9a42e9307558423c6b318c23db97c62dc3b6448b4378c1fe: High frequency transactions (less than 1 minute interval) 0x9fe54349ad0acb20c792367d320998fc79cde96c0b2642e4da4c7a0c588b6f4a: High frequency transactions (less than 1 minute interval) 0xe1fd8f0e9574cdcc0796b35ae3c57fcfeedade0956dc1cd1d06f545aa66d753c: High frequency transactions (less than 1 minute interval) 0x0fcb63f1d2683ef9082a4cb5345fe2dc6c87877cdc5a8105ac5b7fe42ed5d720: High frequency transactions (less than 1 minute interval) 0x93ea89b70b10839271209140bc8d05052e7ac202bb1ec3eaf4f24026fc2a9980: High frequency transactions (less than 1 minute interval) 0xe0f971d5a6f3f2daf8a228f451867ef9d2446b203e7da4665f46bee7439471a3: High frequency transactions (less than 1 minute interval) 0x76d6bab78103778104f5cde797b28d6f3ad3286eafadf412b130455d2166dfd9: High frequency transactions (less than 1 minute interval) 0x1d1626258a6b2db0ce4bc1a98d7fc3d5d4710d4827b1f1e7914f166b30d21d9c: High frequency transactions (less than 1 minute interval) 0x018ecdc77e5df3b26c827ebd7029fd057d6ac7af28a7a90af55493e4d5a9f0bf: High frequency transactions (less than 1 minute interval) 0x2fdbe4f73c3ad809e0fe9e6c48da60a43ccc2c51b4ff262d2dabb3a4fc1f72e7: High frequency transactions (less than 1 minute interval) 0x17152bd81cbeba6a5763eb09149e1077d17ca1dab57c64d80f1a96f31312556a: High frequency transactions (less than 1 minute interval) 0x6275e91ca9f65866c0341e4ae35fb12b7d1339bc6e58aac6357b5d1cc2f6e234: High frequency transactions (less than 1 minute interval) 0x9f6d81fd8a16575fb4034a8416d927a29bd93918c8ffcc9221a2b091cc10dace: High frequency transactions (less than 1 minute interval) 0x73e1acf8dfa7c7f8b19dc08510f41d285343ba26ff023fbe089bedf446d6a9e3: High frequency transactions (less than 1 minute interval)

Summary

Total Suspicious Transactions
33
Average Risk Score
45.33
Top Tags
No tags

Suspicious Transactions

Transaction Hash Risk Score Risk Factors Tags
0xd10b9d2…
100 High
Transaction amount significantly higher than average
Transaction involves DeFi exploit address: Bybit Exploiter 31
Anomaly detected by Isolation Forest
Transaction amount significantly higher than user average
Large transaction amount
Local Outlier Factor (LOF) detected as anomaly
Related to 24 high-risk transactions (highest score: 100)
Low transaction fee
Receives funds from exploit address: 0xcd1a4a...
Outgoing structuring detected: 3 similar amounts totaling 751.13
Transaction amount doubled compared to previous transaction
Rapid accumulation of large transactions
No tags
0x1e02221…
59 High
Short time frame between transactions
Multiple round number transactions
Local Outlier Factor (LOF) detected as anomaly
Regular interval transactions between the same wallets
High frequency transactions (less than 1 minute interval)
Rapid multi-hop layering pattern detected
Very short time between transactions
Transaction amount significantly lower than average
No tags
0xa79da4c…
100 High
Transaction amount significantly higher than average
Transaction involves DeFi exploit address: Bybit Exploiter 31
Anomaly detected by Isolation Forest
Transaction amount significantly higher than user average
Large transaction amount
Local Outlier Factor (LOF) detected as anomaly
Related to 24 high-risk transactions (highest score: 100)
Low transaction fee
Receives funds from exploit address: 0xcd1a4a...
Outgoing structuring detected: 3 similar amounts totaling 751.13
Transaction amount doubled compared to previous transaction
Rapid accumulation of large transactions
No tags
0xf222253…
74 High
Short time frame between transactions
Anomaly detected by Isolation Forest
Large transaction amount
Regular interval transactions between the same wallets
High frequency transactions (less than 1 minute interval)
Rapid multi-hop layering pattern detected
Low transaction fee
Rapid accumulation of large transactions
Very short time between transactions
No tags
0x971aaa9…
100 High
Transaction amount significantly higher than average
Related to 23 high-risk transactions (highest score: 100)
Anomaly detected by Isolation Forest
Transaction amount significantly higher than user average
Large transaction amount
Local Outlier Factor (LOF) detected as anomaly
Receives funds from exploit address: 0x1eb27f...
Low transaction fee
Transaction amount doubled compared to previous transaction
Transaction involves DeFi exploit address: Bybit Exploiter 25
Rapid accumulation of large transactions
No tags
0x5bf5555…
100 High
Transaction amount significantly higher than average
Transaction involves DeFi exploit address: Bybit Exploiter 31
Anomaly detected by Isolation Forest
Transaction amount significantly higher than user average
Large transaction amount
Local Outlier Factor (LOF) detected as anomaly
Related to 24 high-risk transactions (highest score: 100)
High frequency transactions (less than 1 minute interval)
Low transaction fee
Receives funds from exploit address: 0xcd1a4a...
Outgoing structuring detected: 3 similar amounts totaling 751.13
Very short time between transactions
No tags
0xca4a498…
30 Medium
Short time frame between transactions
High frequency transactions (less than 1 minute interval)
Low transaction fee
Very short time between transactions
Transaction amount significantly lower than average
Transaction amount halved compared to previous transaction
No tags
0x2e28fbe…
33 Medium
Short time frame between transactions
Large transaction amount
High frequency transactions (less than 1 minute interval)
Low transaction fee
Transaction amount doubled compared to previous transaction
Very short time between transactions
No tags
0x0acbf4f…
30 Medium
Short time frame between transactions
High frequency transactions (less than 1 minute interval)
Low transaction fee
Very short time between transactions
Transaction amount significantly lower than average
Transaction amount halved compared to previous transaction
No tags
0x62c43e3…
40 High
Short time frame between transactions
Rapid accumulation of large transactions
Large transaction amount
High frequency transactions (less than 1 minute interval)
Low transaction fee
Transaction amount doubled compared to previous transaction
Very short time between transactions
No tags
0x6a715ed…
47 High
Short time frame between transactions
High frequency transactions (less than 1 minute interval)
Rapid multi-hop layering pattern detected
Low transaction fee
Very short time between transactions
Transaction amount significantly lower than average
Transaction amount halved compared to previous transaction
No tags
0xa7aa7ce…
29 Medium
Short time frame between transactions
High frequency transactions (less than 1 minute interval)
Low transaction fee
Transaction amount doubled compared to previous transaction
Very short time between transactions
Transaction amount significantly lower than average
No tags
0xa81947b…
31 Medium
Short time frame between transactions
Multiple round number transactions
High frequency transactions (less than 1 minute interval)
Low transaction fee
Very short time between transactions
Transaction amount significantly lower than average
Transaction amount halved compared to previous transaction
No tags
0x618f1b1…
53 High
Short time frame between transactions
Anomaly detected by Isolation Forest
Large transaction amount
High frequency transactions (less than 1 minute interval)
Low transaction fee
Transaction amount doubled compared to previous transaction
Rapid accumulation of large transactions
Very short time between transactions
No tags
0x3118a28…
50 High
Short time frame between transactions
Anomaly detected by Isolation Forest
Large transaction amount
Low transaction fee
Rapid accumulation of large transactions
Very short time between transactions
No tags
0xc1cb73e…
31 Medium
Short time frame between transactions
Multiple round number transactions
High frequency transactions (less than 1 minute interval)
Low transaction fee
Very short time between transactions
Transaction amount significantly lower than average
Transaction amount halved compared to previous transaction
No tags
0xaefdc43…
40 High
Short time frame between transactions
Rapid accumulation of large transactions
Large transaction amount
High frequency transactions (less than 1 minute interval)
Low transaction fee
Transaction amount doubled compared to previous transaction
Very short time between transactions
No tags
0xc3106b9…
30 Medium
Short time frame between transactions
High frequency transactions (less than 1 minute interval)
Low transaction fee
Very short time between transactions
Transaction amount significantly lower than average
Transaction amount halved compared to previous transaction
No tags
0x765a1b3…
27 Medium
Short time frame between transactions
High frequency transactions (less than 1 minute interval)
Repetitive transaction amount
Low transaction fee
Very short time between transactions
Transaction amount significantly lower than average
No tags
0x9fe5434…
38 Medium
Short time frame between transactions
Rapid accumulation of large transactions
Large transaction amount
High frequency transactions (less than 1 minute interval)
Low transaction fee
Very short time between transactions
No tags
0xe1fd8f0…
38 Medium
Short time frame between transactions
Rapid accumulation of large transactions
Large transaction amount
High frequency transactions (less than 1 minute interval)
Low transaction fee
Very short time between transactions
No tags
0x0fcb63f…
46 High
Short time frame between transactions
Rapid accumulation of large transactions
Large transaction amount
Regular interval transactions between the same wallets
High frequency transactions (less than 1 minute interval)
Low transaction fee
Very short time between transactions
No tags
0x93ea89b…
47 High
Short time frame between transactions
Multiple round number transactions
High frequency transactions (less than 1 minute interval)
Rapid multi-hop layering pattern detected
Low transaction fee
Very short time between transactions
Transaction amount significantly lower than average
Transaction amount halved compared to previous transaction
No tags
0xe0f971d…
44 High
Short time frame between transactions
High frequency transactions (less than 1 minute interval)
Rapid multi-hop layering pattern detected
Repetitive transaction amount
Low transaction fee
Very short time between transactions
Transaction amount significantly lower than average
No tags
0x76d6bab…
44 High
Short time frame between transactions
High frequency transactions (less than 1 minute interval)
Rapid multi-hop layering pattern detected
Repetitive transaction amount
Low transaction fee
Very short time between transactions
Transaction amount significantly lower than average
No tags
0x1d16262…
51 High
Short time frame between transactions
Regular interval transactions between the same wallets
High frequency transactions (less than 1 minute interval)
Rapid multi-hop layering pattern detected
Repetitive transaction amount
Low transaction fee
Very short time between transactions
Transaction amount significantly lower than average
No tags
0x018ecdc…
43 High
Short time frame between transactions
Rapid multi-hop layering pattern detected
Repetitive transaction amount
Low transaction fee
Very short time between transactions
Transaction amount significantly lower than average
No tags
0x2fdbe4f…
32 Medium
Short time frame between transactions
Large transaction amount
Low transaction fee
Outgoing structuring detected: 4 similar amounts totaling 255.71
Rapid accumulation of large transactions
Transaction amount halved compared to previous transaction
No tags
0x17152bd…
37 Medium
Short time frame between transactions
Rapid accumulation of large transactions
Large transaction amount
Outgoing structuring detected: 3 similar amounts totaling 191.71
High frequency transactions (less than 1 minute interval)
Low transaction fee
Outgoing structuring detected: 4 similar amounts totaling 255.71
Very short time between transactions
No tags
0xb37c046…
36 Medium
Short time frame between transactions
Rapid accumulation of large transactions
Large transaction amount
Outgoing structuring detected: 3 similar amounts totaling 191.71
Low transaction fee
Outgoing structuring detected: 4 similar amounts totaling 255.71
Very short time between transactions
No tags
0x6275e91…
31 Medium
Short time frame between transactions
Multiple round number transactions
High frequency transactions (less than 1 minute interval)
Low transaction fee
Very short time between transactions
Transaction amount significantly lower than average
Transaction amount halved compared to previous transaction
No tags
0x9f6d81f…
36 Medium
Short time frame between transactions
Multiple round number transactions
Regular interval transactions between the same wallets
High frequency transactions (less than 1 minute interval)
Repetitive transaction amount
Low transaction fee
Very short time between transactions
Transaction amount significantly lower than average
No tags
0x73e1acf…
39 Medium
Short time frame between transactions
Rapid accumulation of large transactions
Large transaction amount
Outgoing structuring detected: 3 similar amounts totaling 191.71
High frequency transactions (less than 1 minute interval)
Low transaction fee
Transaction amount doubled compared to previous transaction
Outgoing structuring detected: 4 similar amounts totaling 255.71
Very short time between transactions
No tags
Showing 1 to 10 of 0 transactions

Advanced Analysis Findings

No Local Outlier Factor analysis data is available for this report.
No wallet community detection data is available for this report.
No transaction layering pattern data is available for this report.
No address clustering data is available for this report.
No sanctioned address connection data is available for this report.

Suspicious Activities

Suspicious Activities Summary: High Risk Activities: 33 Medium Risk Activities: 0 Total Flagged Transactions: 33 Pattern Categories: - Network-based anomalies - Behavioral inconsistencies - Statistical outliers - Temporal irregularities Automated Detection Results: - Algorithm coverage: Comprehensive - Detection confidence: High - Risk classification: Validated

Conclusions & Recommendations

Conclusions

Analysis Conclusions for 0x295fe304997066fadc4daf2c9a2e040e157e77f7: 1. Risk Assessment - Overall Risk Level: Very High - Standardized Risk Score: 100/100 - Average Transaction Risk Score: 47.45 - Total Suspicious Patterns: 33 2. Key Findings - Automated analysis completed successfully - Multiple detection algorithms applied - Comprehensive risk evaluation performed - Standardized scoring methodology applied (score: 100/100) 3. Confidence Level - Analysis Quality: High - Data Coverage: Complete - Algorithm Performance: Validated 4. Summary The automated analysis has identified significant concerns. Immediate action recommended.

Recommendations

Immediate Action Recommendations: 1. Priority Actions - Escalate to compliance team immediately - Implement enhanced monitoring - Consider transaction restrictions - Document all findings 2. Investigation Requirements - Detailed transaction review required - Source of funds investigation - Enhanced due diligence protocols - Regular monitoring updates 3. Compliance Measures - File suspicious activity reports if required - Implement know-your-customer procedures - Apply enhanced monitoring protocols - Document risk mitigation measures

Severity Assessment

Very High

Appendices & References

Appendices

Appendix A: Automated Analysis Results Appendix B: Algorithm Details and Methodology Appendix C: Risk Assessment Matrix Appendix D: Transaction Pattern Analysis Appendix E: Network Connection Analysis Appendix F: Case Reference Documentation - CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001 Appendix G: Investigation Team Notes - Cladious Forensics Team

References

1. Blockchain Analysis Framework - Cladious Platform 2. Risk Assessment Guidelines - Financial Action Task Force (FATF) 3. Automated Analysis Documentation - Internal Methodology

Contact Information

Primary Analyst: Cladious Auto
Email: [email protected]
Generated: 2025-07-14 00:33:29 UTC
Investigation Team: Cladious Forensics Team
Case Reference: CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001

Platform: Cladious Security Analysis Platform
For questions or additional analysis requests, please contact the investigation team.

This report contains confidential information and should be handled according to your organization's data protection policies.

Report Information

Author Cladious Auto
Published Date July 14, 2025
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Likes 0