Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1458308A43A59F5A25AF3439310DF1503B378152B140D4D606350ECAEB6BDC9FA0ABF9A |
|
CONTENT
ssdeep
|
1536:gTVq53QSoHxh8N6MmbXhjaPnQsR+9xOuY+zjXcI:gTjzmN6/btZ9xU+/V |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc663399cc666699 |
|
VISUAL
aHash
|
0000001818000000 |
|
VISUAL
dHash
|
00000c32b20c1000 |
|
VISUAL
wHash
|
00003838f8f8c0c0 |
|
VISUAL
colorHash
|
380000001c0 |
|
VISUAL
cropResistant
|
00000c32b20c1000 |
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 50 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)