Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11823D73204C46B7B55C352C4B310AB4BE3928148E676CA9AF2EEC71B56C9E45CCB7B5C |
|
CONTENT
ssdeep
|
768:oOcd7WbvN0QLBeKKbVDO/YM4wpti2X+1R82Xl6rgvd:oOcd7WbvN0QLBbwZO/ubtBl6rgvd |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9416ebcacbcaca86 |
|
VISUAL
aHash
|
fd0606060606fffb |
|
VISUAL
dHash
|
718cececccec3353 |
|
VISUAL
wHash
|
fd0606060606fffb |
|
VISUAL
colorHash
|
0e0000001c0 |
|
VISUAL
cropResistant
|
0001096161890192,96d6e8b284710f8e,c030300b73137373,9cccecccccecccec,5d8fc6decec647c7 |
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 174 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)