Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T105E123E1D048DC3B131386E5F7F5275F7696C345CB020E8853F852EA5BDACA0CA27A99 |
|
CONTENT
ssdeep
|
96:Tkf8M79oh4lzH030eGnV06/yEBvwvFoexX6HFwexXhz/3nV06WLQPJ:Qfr79oh4lzH03snRyEQ0tDzvwLQR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3834365b8bc6cbc |
|
VISUAL
aHash
|
0020ffffff000000 |
|
VISUAL
dHash
|
d8cd54000aa30800 |
|
VISUAL
wHash
|
007effffff300000 |
|
VISUAL
colorHash
|
03000000007 |
|
VISUAL
cropResistant
|
f0d4aa8e698ecce8,4667a84b4a984b4e,0020303030280810,042449dcd5c9ccc4,a2a3188200000000 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)