Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17DA35CB43A59F5A659F343A350DF1407B338152B280E8D60A350EDED627CC9BA067FD9 |
|
CONTENT
ssdeep
|
1536:kjp6AuIX6fboQoCo2h2wV9Q/oDtVPTMn56QpzuZTcjEi8i:kjBuIXexMAQgDnAp2TyL |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8c8c23ab2f23abab |
|
VISUAL
aHash
|
9118181818180000 |
|
VISUAL
dHash
|
27b2333232320000 |
|
VISUAL
wHash
|
b13c3c3c3c3c0000 |
|
VISUAL
colorHash
|
38000000038 |
|
VISUAL
cropResistant
|
27b2333232320000 |
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 1929 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.