Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18063867602866E3F108342D18758F75AD7C2E609E7E74D4AE7E8431B22C7DA1EE3A174 |
|
CONTENT
ssdeep
|
1536:NIJgQxzm5Dc0S0Xv7RTK9L0Ji9jJq01Kx8RQ8D6:JcIJQG |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e84182bc376eb693 |
|
VISUAL
aHash
|
00000000ffffffff |
|
VISUAL
dHash
|
86d383331c37270c |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
06010000e00 |
|
VISUAL
cropResistant
|
915456ba922b2b46,38789d9c8c8c8d8f,2a278d1d35b5296b,82a28a969696a882,c53a382323400f4d,968fb3d3832b3397 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)