Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10AD29533A110263F539382C67722F71AE2E79389DA8A1815D3F847AD17C7E90DD1762B |
|
CONTENT
ssdeep
|
768:hzeFy5NmFsb+QgPmOd2t22ypic27sOy2+y9BH4crIe:hcsbTgPXwt22WE7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c343f43a9d2d85c6 |
|
VISUAL
aHash
|
002020000000ffff |
|
VISUAL
dHash
|
dcc9c3c3c9cc9300 |
|
VISUAL
wHash
|
00fdf1700400ffff |
|
VISUAL
colorHash
|
310000001c0 |
|
VISUAL
cropResistant
|
0080800458988000,ccc9c3c3c3cdcc04 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.