Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17152E9B5B22413B49A4383DAFF2622FEF20240E9C7567BDCD755425CB2898EEC924DC1 |
|
CONTENT
ssdeep
|
192:QokoBO5tE1hDmYnjWi7/fGX8/Qku9cuGRmKbMpBXp7sfgg8gk:QTokoAgjWceGLsmMpBZ7eg/B |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bb2bc4aed191d3c0 |
|
VISUAL
aHash
|
ff81818d8d81ffff |
|
VISUAL
dHash
|
4957495959493fb2 |
|
VISUAL
wHash
|
ff8101050101ffff |
|
VISUAL
colorHash
|
1e003030000 |
|
VISUAL
cropResistant
|
4957495959493fb2,2a32a22aaab232cc,409c8888b89898dc |
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 490 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.