Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T160A1D1B1C2A7877380B2D1D2D2E6076736E0425DEA62160D43FC63786BDEE1139E6978 |
|
CONTENT
ssdeep
|
96:2EWaeEzxy/zBS/SpdSTTSp8SDBS/SpdSTTSp8SHSmSuS0S3SsSmSuS0S3S5:2EKvbQKpMip1DQKpMip1yDrNilDrNi5 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9b1b6464c6669b1b |
|
VISUAL
aHash
|
00083c3c0c3c00ff |
|
VISUAL
dHash
|
2619796959780618 |
|
VISUAL
wHash
|
001c3c3c3c3c00ff |
|
VISUAL
colorHash
|
38000000180 |
|
VISUAL
cropResistant
|
2619796959780618 |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 2 techniques to evade detection by security scanners and make reverse engineering more difficult.
Drainer supports multiple blockchain networks and checks for high-value tokens on each chain before executing drain operations.