Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T116C2853122852D3E965742EEF5E0B779E1A9D288C23BCA5DF3FC41B25BC6D11CC62294 |
|
CONTENT
ssdeep
|
768:GqnUINYwYdlHeMOrBhxQi4rUXzKhmIYgU/HC3zxYDr5+nu7Q5wt:GqUhZJA7l |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
dec0083ef2e33f18 |
|
VISUAL
aHash
|
80183cfcdc8c0000 |
|
VISUAL
dHash
|
51f0c8082828e000 |
|
VISUAL
wHash
|
983c3cfefefe0000 |
|
VISUAL
colorHash
|
38007000000 |
|
VISUAL
cropResistant
|
51f0c8082828e000 |
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 196 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.