Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12B234B726722B86883DB92EEFB382D46B2D1549DF8C74450F5C996CD23C3C816197BB4 |
|
CONTENT
ssdeep
|
768:aqPn+EsZx8/G8VRF4QJDawvMoBzowhMoBz2Ucix+y9dQpUDF1E56ITmHDLBABW87:aqPn+EsZ/83OQJDawvMoBMwhMoBSUXxc |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bfd0c5d0c5d0e5d0 |
|
VISUAL
aHash
|
bf81818181818181 |
|
VISUAL
dHash
|
6969697969697967 |
|
VISUAL
wHash
|
ff859d9d85818d81 |
|
VISUAL
colorHash
|
01006000000 |
|
VISUAL
cropResistant
|
6969697969697967,50a4535145559229,dcdcfcfcccdcfcc7 |
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)