Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A142E823D144A9390B5641C5BBB333AFF7658188E7020B9563F8833D5BD6ED1CD32A89 |
|
CONTENT
ssdeep
|
192:zBrukzYhhj5j8iI4dgKWRErpkhQHnNiucLiUuMfgTDU8F:3Gj517KKW+rpC8iuwVoE8F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b17986c690db837c |
|
VISUAL
aHash
|
ffc3c3c3c3c3ffff |
|
VISUAL
dHash
|
96969e9e969620be |
|
VISUAL
wHash
|
c3c3c3c3c3c3c307 |
|
VISUAL
colorHash
|
0e400000180 |
|
VISUAL
cropResistant
|
96969e9e969620be,413c989a981ccaca |
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 30 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)