Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13F44BC234259392A4437C3E520A95B3BD1AADD4FFAE709410EDCD7F726FACA0701B259 |
|
CONTENT
ssdeep
|
1536:mFxt3KRfcQK9tMbXlOJi55R+Ovz0xyp5qsSZH8ArXvUd0gAK6Fyq0aSCcZp3w7X4:sMwzYT9M9kPaS/GIsG |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c2502cbe96d696bc |
|
VISUAL
aHash
|
00003c7e7effd1ff |
|
VISUAL
dHash
|
8c93c4d8cccc33cc |
|
VISUAL
wHash
|
00003c7e7eff91c7 |
|
VISUAL
colorHash
|
06010000e00 |
|
VISUAL
cropResistant
|
c4c8d4cccc230c86,948ff393d0c8dcd4,4555457969610541,0045457171454541,9b1b08b57529b646,8cac2525b3b35696 |
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.
Pages with identical visual appearance (based on perceptual hash)