Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11AA30E23415935274837C2D1347A5B3BE0A6998FFAE70A404EDCCBF62AFACA0745B15D |
|
CONTENT
ssdeep
|
1536:hQtpR4nXBKpSpFl26v6QYhgZQMKmVSdjeX+Xr9iZ:iUMPQAHMdSdjsZ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9340ec3fefc095a2 |
|
VISUAL
aHash
|
ff000e0e0e0e0eff |
|
VISUAL
dHash
|
63d8dc5858585807 |
|
VISUAL
wHash
|
ff080e0e0e0e0eff |
|
VISUAL
colorHash
|
03000038000 |
|
VISUAL
cropResistant
|
63d8dc5858585807,0142411100006606,81630d0923074705,7d7f7f67735f6e1d |
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 113 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)