Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A241EDA771047A2E065BE0453FE3F145C12AC55BD9641C62B6AC009F0ED55F8E063B1D |
|
CONTENT
ssdeep
|
48:NrZRoyFr7lFIWrIdsIJIhAIQhWUG8+uzQI/yRXJs89/1e1BHHbL:NNr7lhmTh88F/9DbL |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ee13c5b8cc473b0c |
|
VISUAL
aHash
|
ffff0000dfc3ffe3 |
|
VISUAL
dHash
|
00124ccc333b0707 |
|
VISUAL
wHash
|
ffff0000c381f7c1 |
|
VISUAL
colorHash
|
07000038000 |
|
VISUAL
cropResistant
|
00124ccc333b0707 |
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 30 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.