Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1475254E7432CA1FE68EAC6F83A1FB625D156D083E1F1518AE0CC8A25D707CD6DA1A740 |
|
CONTENT
ssdeep
|
192:nHZaJsDmaPipG4m/KLPOOOO5VU3sfQOOOO5MQV9OOOO5uShwKLm:5CsDep3SBm |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
dd77669933268988 |
|
VISUAL
aHash
|
8018181818180018 |
|
VISUAL
dHash
|
4d33333333323132 |
|
VISUAL
wHash
|
ff19191919999999 |
|
VISUAL
colorHash
|
30006000000 |
|
VISUAL
cropResistant
|
ffffbfacdcf6ffff,4d33333333323132 |
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 29 techniques to evade detection by security scanners and make reverse engineering more difficult.