Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EA72E8B2A360263E0157CBF9F6B1F3B481A9C25ED0638961F2FD93650BDAC95F523580 |
|
CONTENT
ssdeep
|
384:u3lE6XLmBMOv5fNYk2AgKn7SCrFtZ0tSF2NjaNcFK:kK6XyBMOv5fNYk2AgKn7SC/Z0tSFkaNz |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3c63c39303cb6c7 |
|
VISUAL
aHash
|
0678746060202800 |
|
VISUAL
dHash
|
dcc1c4cccac858c3 |
|
VISUAL
wHash
|
667c763470606c3f |
|
VISUAL
colorHash
|
38000000e00 |
|
VISUAL
cropResistant
|
0242203b1b428a02,dcc1c4cccac858c3 |
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 35 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.