Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T132E2C7F5D4445E3259B3E2DA7BA05F0AF2818587C9938592D2DCC34D2FCADA3EA57308 |
|
CONTENT
ssdeep
|
768:SpUwVVf0reV2902txtqBRVM80+94Vm201SVowW0EpzTM1V2GbE0E6/MA1Vs:CPsrDq3BEzA1KV2MR7k |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ce653131cec69333 |
|
VISUAL
aHash
|
42003c3c3c3c3c3c |
|
VISUAL
dHash
|
9696696161616161 |
|
VISUAL
wHash
|
c35a3c3c3c3c3c3c |
|
VISUAL
colorHash
|
020060000c0 |
|
VISUAL
cropResistant
|
9696696161616161,33333212b2ba9ab6,2448b4b4d4c40e40,0000000000000000,0000000000000000 |
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 31 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)