Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B2743210D3035C5BE963E1D4C820A937213AF74B6296EA745BAE8277BCCF8F86C154D9 |
|
CONTENT
ssdeep
|
1536:zwz2yHFH1fZrk84zNHPdE2t28JzFjcB9RapFU+80qUkWG7oIGCDM3IP1kvJ:ElvZ6X32oh |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c47bc43b370d39c2 |
|
VISUAL
aHash
|
00606002001c7e7e |
|
VISUAL
dHash
|
12848a520ef0e0e4 |
|
VISUAL
wHash
|
00707e6a027e7e7e |
|
VISUAL
colorHash
|
00007000000 |
|
VISUAL
cropResistant
|
b470d8b83181e080,12848a520ef0e0e4 |
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 156 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.