Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T109134A726331B87843DB92EEEB382946B2D6449DF8C74450F5C99ACD23C3C816297BB4 |
|
CONTENT
ssdeep
|
768:ao+EsZx8/G8UEDVSDkMEBkSwMEB43Uuix+y9dQpUDF1E56ITmHx3naOhqePqDvrK:ao+EsZ/8vDVSQMEBkSwMEB43Uxx+y9dd |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
eee4917bc0943ac3 |
|
VISUAL
aHash
|
fff393b3f100ffff |
|
VISUAL
dHash
|
3947676767114300 |
|
VISUAL
wHash
|
bfa18181a000ffff |
|
VISUAL
colorHash
|
07c01000200 |
|
VISUAL
cropResistant
|
3947676767114300,5e4f9f91b1d1d9db,cfe2cc8b87666a6a,15a42f2b4b0e1d0d,0101010101010101 |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)