Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T132234B726332B8A843DB92EEF7382E46B2D2588DE8C74550F5C95ACD13C3C816197BB4 |
|
CONTENT
ssdeep
|
768:ajjV+EsZx8/G8m6RF4QKDattM7BltDM7B77Ucix+y9dQpUDF1E56ITmHDLBABW8e:ajjV+EsZ/8mMOQKDattM7BltDM7B77UR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
be3ac1c3cac66634 |
|
VISUAL
aHash
|
fd8d83879fffffff |
|
VISUAL
dHash
|
49311f2d290c2000 |
|
VISUAL
wHash
|
8180818181f7ffff |
|
VISUAL
colorHash
|
07038000000 |
|
VISUAL
cropResistant
|
49311f2d290c2000 |
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)