Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T151D43BB1E0502C3B01DB83E4F6B56707B3E4D349E50A84929BE8DF982FD6E60DE1A51D |
|
CONTENT
ssdeep
|
6144:q08e8wh2fvpJdyjylVq/HOVcw5lu9h119e504yuls:q08e8wh2fvrdyjylVq/HOVcGQ1Gxm |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
fab48166c938bc1e |
|
VISUAL
aHash
|
ffff8f9880800078 |
|
VISUAL
dHash
|
794d3d31290949d1 |
|
VISUAL
wHash
|
ffff8fc8a0a00078 |
|
VISUAL
colorHash
|
16c00010000 |
|
VISUAL
cropResistant
|
794d3d31290949d1,737213b8f26a66cc,929e9696929373ee,db5b5a4242823434,d2f2999dadedc94a,7171714d45457169 |
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 792 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.