Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12713F071D2DCAD3BF607D0C8F319A926BBC19206C30156CD426D639A7A9FE8794FB418 |
|
CONTENT
ssdeep
|
768:R0fs/5JWoEUhP4xiBkra/gSbmJSbiHqTBe9cINg3mZvqOdkJFbgnWp36Vm5axyly:EUhP4xiBkra/gSbmJSbiHqTBeOINg3Qr |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a6d29b646493e6cc |
|
VISUAL
aHash
|
ffe7e7c7c3e3ffe7 |
|
VISUAL
dHash
|
094d0d0d160f494f |
|
VISUAL
wHash
|
e7c7c3838383a783 |
|
VISUAL
colorHash
|
07000400009 |
|
VISUAL
cropResistant
|
094d0d0d160f494f |
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 55 techniques to evade detection by security scanners and make reverse engineering more difficult.