Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T167A2943412846B3E61278BE4F6A5F336919AD35DD56B962DF2BC12B113C7E80C933684 |
|
CONTENT
ssdeep
|
192:sF7fGqUOOoH5yUa5ZbYzYLmYpI4UEM8Bdo8PHZsZCuVZBwZ2KZ708ZNtRAYW:kiypzYaYZo8PNuzm0aRAYW |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b30f735b644c644e |
|
VISUAL
aHash
|
00ffc3c3ffffffc3 |
|
VISUAL
dHash
|
5c488e8e6949698e |
|
VISUAL
wHash
|
00e78303bfaffcc0 |
|
VISUAL
colorHash
|
070000000c6 |
|
VISUAL
cropResistant
|
4c4d868e6949698e,0810101010101008,0160801824e4c018,0008323032b20c10 |
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 24 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.