Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DCD33221C6A41333D205078AE3EB7756279BC1C7CC92B8F8A1608175DBBED891C77DA2 |
|
CONTENT
ssdeep
|
3072:o1KJrjylK2E6IOZuagKI3ImJS2QgIYLQICeIkPksuGIyIhuBn1Psm:QKNQ5Idf3NZh |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ed1695926ab34527 |
|
VISUAL
aHash
|
fff1000000f1fbfb |
|
VISUAL
dHash
|
2b22622365e31292 |
|
VISUAL
wHash
|
fff0200000f1fbfb |
|
VISUAL
colorHash
|
06e00000000 |
|
VISUAL
cropResistant
|
2b22632365a31292,0020d0d0d0d02040,9696969311531b59,8202020606060606,aecc44132b8a9a4c,9f8d0d8c8f232260 |
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 57 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)