Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15FD2966021491E2EB20346D1E2D4B37AE27E974ACE1B591CF27D117227CAC9E9D373E4 |
|
CONTENT
ssdeep
|
768:Z7nu2GZLBuaoe8Fis07bEE2jNBPZofZg+9TsjWuXy:qluaolWy/yW9jfy |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
99b666d9c8269939 |
|
VISUAL
aHash
|
00001c1c18180000 |
|
VISUAL
dHash
|
302030b0b2b22430 |
|
VISUAL
wHash
|
9cbe3e3e1c1c1c1c |
|
VISUAL
colorHash
|
381c0000000 |
|
VISUAL
cropResistant
|
302030b0b2b22430 |
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 250 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.