Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F8C17571511CAA351547C1DCC322B766324BE184DBC72214E6EB877D9EC6CD9EC2C561 |
|
CONTENT
ssdeep
|
96:9uhXPWdwMew+7gqthqomDoYImo+McoZUjlT5nzYeCoaPwMewZzW8J7Y0JYi5651L:GPFMz+LtooKA5coZclT5MeCo3MzZ6oUD |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e633663366336632 |
|
VISUAL
aHash
|
42fffffffffffffb |
|
VISUAL
dHash
|
4d32223232323236 |
|
VISUAL
wHash
|
003c3c3c3c3c3c3c |
|
VISUAL
colorHash
|
07000000e00 |
|
VISUAL
cropResistant
|
4d32223232323236,c002129240499696 |
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 4 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.