Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T164E13FF1D044ED3B435386D5ABB66B0B7691C349CF030A4493F883AB9BDAD60CF12699 |
|
CONTENT
ssdeep
|
96:TknEsfzDJ1tkUcK6t8v67M0dySS8L7fXwvFOeKXiHFWeKXJX/sIyt6W6Db2J:QjfzDJ1bcRt8iIO37+ZDeXryJsbw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e4e41b9b9b0a9393 |
|
VISUAL
aHash
|
fff3f3f3ff000000 |
|
VISUAL
dHash
|
302626a606180600 |
|
VISUAL
wHash
|
fff3f3f3f3000000 |
|
VISUAL
colorHash
|
07000000038 |
|
VISUAL
cropResistant
|
2006262626a60651,fe82e2627672f4f0,929299f262b2b0c8,0000000000000000 |
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 59 techniques to evade detection by security scanners and make reverse engineering more difficult.