Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T165C29771A0002B3F4197D3C9B351F31DA3E39289DB461A1553F9C76D8BDBE90DA2362A |
|
CONTENT
ssdeep
|
384:fxe/y5NO2O0MU2RQjtMHqRLdiPEwj8m9uw+B9ceIYsOy2+y9BH4cUUIe:Je/y5NOKYPEwsv7sOy2+y9BH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c367fc3a9429c193 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
0c4cc4c2cccdf300 |
|
VISUAL
wHash
|
00eefe300400ffff |
|
VISUAL
colorHash
|
39e00010000 |
|
VISUAL
cropResistant
|
0080800458988000,944cccc6eacccdf3 |
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.