Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T176C27471E110673B07A3C2D973E1BB1E62E34249C74A151953FD836D0BE7E50EE2726A |
|
CONTENT
ssdeep
|
768:ue4j/xipGHEFPJRKi0GQY7sOy2+y9BH4c1Ie:I/jkZvKNI7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3069471bd3cbda4 |
|
VISUAL
aHash
|
002400000000ffff |
|
VISUAL
dHash
|
dcc9ccc0c8c8c800 |
|
VISUAL
wHash
|
027c34306064ffff |
|
VISUAL
colorHash
|
31000000e00 |
|
VISUAL
cropResistant
|
0c00980258988000,dcc9cce4c8c8c8c8 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.