Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17DE265B1C18021EB2123CFA1E5656B6B32D7A27ECA32CD1047BC4F5DEBD5DC0965A8C6 |
|
CONTENT
ssdeep
|
384:1GnA8+UVA7lGtim1pk7r2PPaL6/m8oJkpB1aRqsLWA32U2c:1Gn9E7lAiX7U3//HaRDSA32UZ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ed966c2d96699660 |
|
VISUAL
aHash
|
f7ffffffff8181c1 |
|
VISUAL
dHash
|
2f1212206b131737 |
|
VISUAL
wHash
|
81ebdbbdbd818181 |
|
VISUAL
colorHash
|
07e00000000 |
|
VISUAL
cropResistant
|
2f1212206b131737 |
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 48 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.