Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DEB2A36161509E3B11978AF071B2BB7A74F8C70EDB07C6F4E2E8436E27DACA0DD01660 |
|
CONTENT
ssdeep
|
192:5d+ZKFFQium0u/XYuBQjUy02JpnCf9HVyrsNDD/G5rj/UVBLejxG2LoBbMvek31f:04rum0u/XYuW4DYpnCfBMrsEXxgoe61f |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
99cc663399cccc99 |
|
VISUAL
aHash
|
0000181818180000 |
|
VISUAL
dHash
|
0010b2b2b2b2b20c |
|
VISUAL
wHash
|
00001819dbdbe7ff |
|
VISUAL
colorHash
|
38001200180 |
|
VISUAL
cropResistant
|
9a33964633803333,0010b2b2b2b2b20c |
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 39 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.
Pages with identical visual appearance (based on perceptual hash)