Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16A54CB234259392A4437C2E420A95B3BD1E6DD4BFAE70A410EDCD7F727FACA0741B259 |
|
CONTENT
ssdeep
|
1536:7WMzeAn0cMJ9tMbXlOJi55R+OvU05K6TQH8ArXvUd0gAK6FyP0a6DWp3w7X5G1ue:QMweW9k2nSGImAb |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c2416dae96c4b6e9 |
|
VISUAL
aHash
|
00003c7e7efff1ff |
|
VISUAL
dHash
|
cc93ccd0cccc23cc |
|
VISUAL
wHash
|
00003c7e7eff81e7 |
|
VISUAL
colorHash
|
06010000e00 |
|
VISUAL
cropResistant
|
ccc8d4cccc23478c,96e9c193c8c8dcd4,4551657171694541,4145457171454500 |
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 37 techniques to evade detection by security scanners and make reverse engineering more difficult.