Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T190E2C431D106783F15ABB3D0E775A35EA2D586CDE943032583FD879C1BCEC90AE06896 |
|
CONTENT
ssdeep
|
384:7b1zIIKI9mIIIII9RlBrmKmKH+JT1ouBRSii8F3s65z7KaOv+UdqcUuOpW:tIIkIIIIIXBETfBHs65zImUl |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3e35c1c1971c69e |
|
VISUAL
aHash
|
00e3e7ef3f3c1818 |
|
VISUAL
dHash
|
9fc7cfdbf1e1f0f0 |
|
VISUAL
wHash
|
00e3e7ef3f781818 |
|
VISUAL
colorHash
|
31030000000 |
|
VISUAL
cropResistant
|
f3e3d3ce9c988c0c,0000606161600000,9fc7cfdbf1e1f0f0 |
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 38 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)