Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19CE132E1C404DD3A032285D5F7F56B5FB9A2C359CB02098453F882EB9BDFC60DA16A99 |
|
CONTENT
ssdeep
|
96:Tk08HkhOlzH0XfeGBaULS9wvFKexXYHFUe9X5z/jt7lBqQPJ:Q08HkhOlzH0X1BaMS6itzzrrBqQR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e763b330b030e367 |
|
VISUAL
aHash
|
ff203000000000ff |
|
VISUAL
dHash
|
0dc0c03216321604 |
|
VISUAL
wHash
|
ff707818001800ff |
|
VISUAL
colorHash
|
01007000000 |
|
VISUAL
cropResistant
|
0c0d0d0d0d0d0c0d,8282828282828282,8282828282828282,0000000000000000,8cc0c47016163206 |
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 59 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)