Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A4C1436020D22E2AA30652856A71DF061127A5C0DEDFE2854BF487DE4AE3EF4CD6F7C5 |
|
CONTENT
ssdeep
|
96:eNTIm6D0w+OoVke5DmpBHiPqEIIkPkKbOxl289UYE1k486rGB066rGE066JG766P:elIm6Iw+OoVb5ypBHiPqEIIkPkQOx080 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d905f619b36688d9 |
|
VISUAL
aHash
|
001818001818e7ff |
|
VISUAL
dHash
|
0c32324c32b20d03 |
|
VISUAL
wHash
|
383c3c001800ffff |
|
VISUAL
colorHash
|
30038000000 |
|
VISUAL
cropResistant
|
0008104c4d4c3008,0c32324c32b20d03 |
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 1058 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.