Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18F7394B11182AE3F118382D69758D359D3C6EA0AC7A75AABD7EC831B33C7DA4DD35024 |
|
CONTENT
ssdeep
|
1536:Jxfaxur/yNcOx0KaEoPgyAWd0q61IKyox0sx9mo8us:tXKAiqYfGV |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e840a6bc366eb6b2 |
|
VISUAL
aHash
|
00000000ffffffff |
|
VISUAL
dHash
|
84d383339437230c |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
06010000e00 |
|
VISUAL
cropResistant
|
108a88cbcbc988c8,38789d9c8c8c8d8f,a76464bba3535347,82928ccccc8cb282,c512302327200f0c,8483f3d3832b3393 |
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)