Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12754CC234259392A4437C3E420A95B3BD1A6DD4BFAE70A414EDCD7F727FACA0741B258 |
|
CONTENT
ssdeep
|
1536:C5SSpbO0cd19tMbXlOJi55R+OvU0RNHkTH8ArXvUd0gAK6FyP0Dc1Gp3w7X5G1ug:7MweK9k2QcGImRY |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c2416d3e96d496e9 |
|
VISUAL
aHash
|
00003c7e7efff1ff |
|
VISUAL
dHash
|
b693ccd0cccc23cc |
|
VISUAL
wHash
|
00003c7e7eff81e7 |
|
VISUAL
colorHash
|
06010000e00 |
|
VISUAL
cropResistant
|
ccc8d4cccc23474c,86b3d393ccc8dcd4,4551657171694541,4145457171454500 |
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.