Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1323450B2624158BA9B5346DDB4D9630D676EF64DCFC61081DFAD03F42BEBC68E40D02A |
|
CONTENT
ssdeep
|
1536:FIhc5P6Rylhs3Uh2rD+TpNe1vezCH049eQtGBtkhF0CWIt23Oxaw3kKdLXApzjX7:FIaeUSft23Ocw3llKkol |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
877aa30cac2b788f |
|
VISUAL
aHash
|
003e80003a003fff |
|
VISUAL
dHash
|
654c4956e6494547 |
|
VISUAL
wHash
|
01bfa4a03e003fff |
|
VISUAL
colorHash
|
39201400000 |
|
VISUAL
cropResistant
|
94989991919191d0,a08080a5a580a0a4,9f878393938f8f84,f8fcfcfaab3325e5,f6f6f6ffedf6f6f6,654c4956e6494547 |
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 338 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.