Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13B511F708059AC335103E1F8ABD4AB5B7287C309C68A264C63F4D76D1EE3C4DDEA6668 |
|
CONTENT
ssdeep
|
48:anRJhhzazId9UTOiyXB7YU26YXAP0ailqM7ay6Scp1eUp:w8zIA+B7YUbB0aisMeBT1es |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
83ef6d03839398dc |
|
VISUAL
aHash
|
3f3f3f3f3f3f3f3f |
|
VISUAL
dHash
|
cacec6cdd4d0d0d0 |
|
VISUAL
wHash
|
3f233f373f3f0000 |
|
VISUAL
colorHash
|
0e000050006 |
|
VISUAL
cropResistant
|
96960e9948000000,0171710121010101 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)