Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C673537652427E3F2083C2D1872CE359D382D60EC7A7898B9BE8431B67D6DA1EF35164 |
|
CONTENT
ssdeep
|
1536:jMC3vK/DcGg0L4xEKPvy906sGDxnL20PxVuz8i4:azWIFnJM4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c2506cbe96d696b8 |
|
VISUAL
aHash
|
00003c7e7efff1ff |
|
VISUAL
dHash
|
ccd3ccd0cccc238e |
|
VISUAL
wHash
|
00003c7e7effd1c3 |
|
VISUAL
colorHash
|
07010000e00 |
|
VISUAL
cropResistant
|
ccc8d4cccc238e86,84cbd993c8c8dcd4,4561417971690141,00454d7171414541,90d26d89bba94911 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)