Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T181E30F75D210B833425365D0223B1B59E1A19304CF63C69EB6F48799BBFDC96EC326B8 |
|
CONTENT
ssdeep
|
3072:zMTBFheWP2YZWFzpI6dj6YyQ+rNibwnpsb7Z:yUz |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc32ff12e9b24d90 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
0334e4a5b1725272 |
|
VISUAL
wHash
|
801e16745810ffff |
|
VISUAL
colorHash
|
33402000000 |
|
VISUAL
cropResistant
|
0284765343621233,033234e4a4a1b364 |
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 67 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.