Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15B13A8702251282E632742EDB1E1F779B0ABD248CA53D259B3EC127717CFCD6AC652E4 |
|
CONTENT
ssdeep
|
768:cN02f2V2rJT8Kovp9Kpm03elFFYTPGzhL2S7FGenb/rgNRikf4aB62Xx2XH2Xs2o:cGYTPG6C8xMwYZK++DPsUAA5SZLxLifm |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ebdf54a820568fa8 |
|
VISUAL
aHash
|
c48cb86043ebe400 |
|
VISUAL
dHash
|
0c386ac89b0b8426 |
|
VISUAL
wHash
|
c69cb8e5c3fce600 |
|
VISUAL
colorHash
|
38000008602 |
|
VISUAL
cropResistant
|
0c386ac89b0b8426 |
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 8 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.