Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T151D22D706149FE3B51E3D2E1A33563AF32D5E386EA4B032657F8836D0BC6E85ED22505 |
|
CONTENT
ssdeep
|
768:AFQDotVkA/6TrbeScFsKdUrNE5NlDqcZgBfPO1tSlKtHLP1oGgJH:lSDq/tY5w |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc4cb333e6269399 |
|
VISUAL
aHash
|
80181818382400ff |
|
VISUAL
dHash
|
62b23231f4cc3330 |
|
VISUAL
wHash
|
901818183c3cffff |
|
VISUAL
colorHash
|
38000038000 |
|
VISUAL
cropResistant
|
62b23231f4cc3330 |
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 549440 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.