Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E5349650F1E65C32206F81E2E5B86B191192FB6BC7420BC2B7F447B89BF5C9DBC1A158 |
|
CONTENT
ssdeep
|
3072:GWYK6h7Y9BBTJzbFNLaWgN8rkA9spwyb2uh46Dvxt7xarJycL7FHXcdLew4XqpUI:GWY2hkAK39ikUdQOZmBlQo |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9f406337735ccce0 |
|
VISUAL
aHash
|
00c3ff9f879fbfff |
|
VISUAL
dHash
|
c80631316f736989 |
|
VISUAL
wHash
|
0001bf99811dbffd |
|
VISUAL
colorHash
|
0e006008040 |
|
VISUAL
cropResistant
|
ac8ccc8d98968ce8,ac8eaa2b2baaaeae,c80631316f736989 |
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 3080 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.