Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T109E10DF0D044ED37435386D9A7BA6B0B7791C349CF030A4593F883AB9BDAC60CB15699 |
|
CONTENT
ssdeep
|
96:TkGnbzD71tDlt8v67McdwytmhwvFOehX2HFXejBXv2X/LQYfq2J:QGnbzD715lt8iIGwycQgUYXjQcqw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b8b843c71c9c47c7 |
|
VISUAL
aHash
|
ffffffdfffffff00 |
|
VISUAL
dHash
|
3038203030400000 |
|
VISUAL
wHash
|
100000000f0f0f00 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
2038103030000000,0000000000000000 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)