Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1893273270305CB5A969D8290B9B0698DB194C8C7D9F092C5EBCB4906E29CDF0FD2D7BC |
|
CONTENT
ssdeep
|
192:+WAWO/t90S3GLCqyYuFjuT6bICy4RlHUW6O8XCNt+sai5CAWrUNfnzYUpyuXoZOt:++O/t90S3GLCqPT6ECsDM5EwYUpymn |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
99669999736466c6 |
|
VISUAL
aHash
|
1818181818181818 |
|
VISUAL
dHash
|
30b2b230b2b2b2b2 |
|
VISUAL
wHash
|
3c3c3c3c3c3c3c3c |
|
VISUAL
colorHash
|
38200030000 |
|
VISUAL
cropResistant
|
ffffffcfefffffff,d8b4765e768313f1,30b2b230b2b2b2b2 |
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.
Pages with identical visual appearance (based on perceptual hash)