Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12B3254306094AD3F85C382E5E7353B9F72A6928ACB4B120556FC43688FC6C96ED27169 |
|
CONTENT
ssdeep
|
192:CYbUK8dOmgp7vF8kD9NwCzWDQJDIAJ3S0:DbUK8YmgpLFtD9NwOWDAhJi0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
99d166e4e6999991 |
|
VISUAL
aHash
|
ff00181818181800 |
|
VISUAL
dHash
|
d831b2b2b2b2b24c |
|
VISUAL
wHash
|
ff181c3c3c3c1c3c |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
08128e8e00090404,59b2b2b2b2b2b24c,0e0e707260701010 |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.