Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F303967185439D3B228381D5FB795B5FB2D18288CA53470A52FA83BC4BE5C77EE27904 |
|
CONTENT
ssdeep
|
384:Sdout0dAekphXPLHf+OlIBLb7M98ceL60TDxkwhYVmNcvTy0Kc0lnXkF:tzkph/T+zxbT9XZSF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c946e3a3e5d888b9 |
|
VISUAL
aHash
|
ef000000000fffff |
|
VISUAL
dHash
|
5b48b070cadb321b |
|
VISUAL
wHash
|
ff00000000ffffff |
|
VISUAL
colorHash
|
16402000080 |
|
VISUAL
cropResistant
|
0002003707cbd8ca,7000401b1b231b0b,cbe820b03160dafb |
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 55 techniques to evade detection by security scanners and make reverse engineering more difficult.