Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D67274B462419E6741E382F1F261F72EE3889A04CB57DD0AF3ED82424BE6C48DD769D4 |
|
CONTENT
ssdeep
|
384:06lECHzdJvTP85abo8yFglD59ZOBJTP85abo8t6/vXH:NECHjYAD59ZOBJYpXH |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9db6935969218d66 |
|
VISUAL
aHash
|
0f1f171b19180018 |
|
VISUAL
dHash
|
183c363233b33232 |
|
VISUAL
wHash
|
8f9f9f9b1918103c |
|
VISUAL
colorHash
|
39006000040 |
|
VISUAL
cropResistant
|
e4607134b83cac06,853039892c34b3b3,183c363233b33232 |
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 40 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.