Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15873B532A64658179197D2D5F2719B1F22828385C7030FA163F857BE7ECACF5AE122DC |
|
CONTENT
ssdeep
|
1536:60rMU+OUbJo+nHTuHIuqRbubuEuXuouqRPozXS4ZLf+mkR2GRleVO+eH99hGbzSm:JrMuTqiiveTQZmkR2k8VleH99hG3SGPN |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93246c32cdcb3b96 |
|
VISUAL
aHash
|
42406c7e6e4c7e7c |
|
VISUAL
dHash
|
c686c8d8dcd8d8d0 |
|
VISUAL
wHash
|
40427c7e6e4c7c7c |
|
VISUAL
colorHash
|
06200038000 |
|
VISUAL
cropResistant
|
c686c8d8dcd8d8d0,dcc8d4cc25259494,695939695b371bb8,434d6c4c4d4d4f3c,2bebc9f92d2d250d |
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 20 techniques to evade detection by security scanners and make reverse engineering more difficult.