Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1ED824230EE08447F63838DFCB455EE1D2387A343DF19D270B99611A09ACF865EA99778 |
|
CONTENT
ssdeep
|
192:L9eBDTcGcg7aczvXs9AZFiOzczUXs9rKNn00CywZFiR50i:L9eBDTcGcg7aczvaOzczUtN0w3R50i |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ee93e1bc1cc32c1c |
|
VISUAL
aHash
|
f3f1f1f0f0f0f0f0 |
|
VISUAL
dHash
|
27276707272707a7 |
|
VISUAL
wHash
|
f1f1f0f090f0f0f0 |
|
VISUAL
colorHash
|
06030000200 |
|
VISUAL
cropResistant
|
27276707272707a7,fffbffffffffffff |
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 96 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.