Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T128817311826248B955279BD5EB70139ABACBC0EDEF43860C52F5C73DADCADD8D81888C |
|
CONTENT
ssdeep
|
48:TGupgCGmw2w8/W8hqHc7sNdKF0klA3bhKP6HGeGn9ULA6GetXZBD1r/SatHr/nNQ:TGupG0KHIF0UjiTS1mhr/SG2d |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cccc666666669999 |
|
VISUAL
aHash
|
0018180000000000 |
|
VISUAL
dHash
|
2d32b20c30000000 |
|
VISUAL
wHash
|
9f1f1f0f00000000 |
|
VISUAL
colorHash
|
38007000000 |
|
VISUAL
cropResistant
|
0020484c4c482182,2d32b20c30000000 |
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 5 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)