Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19B71842281149C33459396E426A6AF1A329987A8C303190DF7F8C76D2AE2DD9CF77625 |
|
CONTENT
ssdeep
|
48:4SI1Ar0PwjaewlZXB5pPexyDNw2mjFIoJNPvzCZ4yHfl89gz3HcC2j9/z:4SC7exaoJNPrCZ49O3W9/z |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
99d826e4d9a4d8e3 |
|
VISUAL
aHash
|
0000181818180000 |
|
VISUAL
dHash
|
504cb2b2b2b2cf7b |
|
VISUAL
wHash
|
f87cfebf5f180000 |
|
VISUAL
colorHash
|
000000001c0 |
|
VISUAL
cropResistant
|
9ab8e2d2b032b2e4,504cb2b2b2b2cf7b |
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 3606 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)