Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13B628536B15C126821573892E4B6339AF72A517D7F8318F078B5C51ED2EC72FE0B29A4 |
|
CONTENT
ssdeep
|
192:FTi9+QLDJ5ks08FEagEno/q2MOLoTmOA4ZY5pxcnZj9wKsH6L/u:FmZLDJas08FEZEnntOEAv5o9wKsaLG |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e9c1963cc3693c96 |
|
VISUAL
aHash
|
ffff81818181c3ff |
|
VISUAL
dHash
|
82330f1313073780 |
|
VISUAL
wHash
|
fff38181818181ff |
|
VISUAL
colorHash
|
17038000080 |
|
VISUAL
cropResistant
|
82330f1313073780,e30b0713330f3737 |
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 12 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)