Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BD1288E2D468DC360B2286D5B7F17B2BB2B2C249DB010ED026F483BE57DED90C61599D |
|
CONTENT
ssdeep
|
192:Q81TZY+jiDiiEZinz8hhfUY/B47cJUQ+XXjU8F:Q8DY+jiDiikizKfUYZecJjo48F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8676f1f1090f8bb8 |
|
VISUAL
aHash
|
ea800000ffffffff |
|
VISUAL
dHash
|
0a2c6466b60024d0 |
|
VISUAL
wHash
|
e80000001fffff7f |
|
VISUAL
colorHash
|
07000030000 |
|
VISUAL
cropResistant
|
0a2c6466b60024d0,cc4c7868262c323c,0c47038c8ccac5a3,6b632b4f41616d6e,785c0e8783810547,f38706062747379b,0145554f5881cdfe,104101032f3c72cc |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.