Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D0235B726332B47843DB91DEE7382D16B2D2989DF8C74554B2C95ACE23C3C816297BB4 |
|
CONTENT
ssdeep
|
768:adiFi8i7+EsZx8/G8on4WDawaMLBNwsMLB/Ucix+y9dQpUDF1E56ITmHDLBABW84:adiFi8i7+EsZ/8o4WDawaMLBNwsMLB/u |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9a1aece432b3e564 |
|
VISUAL
aHash
|
0000000000ffffff |
|
VISUAL
dHash
|
6968702878060000 |
|
VISUAL
wHash
|
3c18000c00ffffff |
|
VISUAL
colorHash
|
330060000c0 |
|
VISUAL
cropResistant
|
0000080c0c0c0008,a203450cb4b4538a,2000000000000000,6869697870696930 |
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 19 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)