Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T161234A726332B87883DB91DEF7382E46B2D2949EE8C74554B5C99ACD13C3C906193BB4 |
|
CONTENT
ssdeep
|
768:aa+EsZx8/G8fXj40Datj/sM7BEtkM7B6Ucix+y9dQpUDF1E56ITmHDLBABW8KPq+:aa+EsZ/8fc0DatrsM7BEtkM7B6UXx+yf |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cb4bd0b46791b525 |
|
VISUAL
aHash
|
f9d999f9b1ffffff |
|
VISUAL
dHash
|
c331333b63440100 |
|
VISUAL
wHash
|
f800000031ffffff |
|
VISUAL
colorHash
|
07000000c00 |
|
VISUAL
cropResistant
|
c331333b63440100,670743747f2717ce |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)