Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DCC2757291866C13812BD2D9B270C72F3281C785CB138B5573FD579EBBCDCAA9E111A8 |
|
CONTENT
ssdeep
|
768:JlbNho8X1RGzIBmRoyeeeewyeqeMeeeeHIeeeemQbQ4a8IJa8IhGrX1/1CMhWH5F:Ld3yeeeewyeqeMeeeeHIeeeeBUlCuFN+ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
976b96d269949c92 |
|
VISUAL
aHash
|
20240e0a0a0e0e06 |
|
VISUAL
dHash
|
464d9c8a8a8cac2c |
|
VISUAL
wHash
|
e7e1062a630f4767 |
|
VISUAL
colorHash
|
01200030000 |
|
VISUAL
cropResistant
|
464d9c8a8a8cac2c,5c78c970cde96a4a,3c7363eb232f3716,2764e7f7e3ca6823,9597a36894e09080,aae2534949f9baba |
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 11 techniques to evade detection by security scanners and make reverse engineering more difficult.