Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FA720F377044D62E0D9B82ECFAC8B66A628DD145F735C4C218F6917FAA41CED6832B4D |
|
CONTENT
ssdeep
|
384:sl4zEWm+Sm9GSsl2jDPBuM79SZvxHUfMmUFCoRL:sxWm+Sm9GSsl2jTEM79SZKfBUsWL |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b9926dc69297c692 |
|
VISUAL
aHash
|
c3c3c3cbc3c3c3c3 |
|
VISUAL
dHash
|
231b1f1f3b030b33 |
|
VISUAL
wHash
|
c3c3c3c3c3c3c3c3 |
|
VISUAL
colorHash
|
1ec00600000 |
|
VISUAL
cropResistant
|
231b1f1f3b030b33,5878585c1ebe8dac,fee9c9c1c2cac8c1,459a9a9bdaaa814a |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.