Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T180233A726332B87883DB92EEB7383956B2D6589DB8C74410B5C95ACD13C3C817297BB4 |
|
CONTENT
ssdeep
|
768:a8+EsZx8/G8M4IDawDM0BJwPM0Bn7Ucix+y9dQpUDF1E56ITmHDLBABW8KPqDvt9:a8+EsZ/8XIDawDM0BJwPM0Bn7UXx+y9+ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ee66959dc0d29895 |
|
VISUAL
aHash
|
ff8181a1a181ffff |
|
VISUAL
dHash
|
694f6d4d47716900 |
|
VISUAL
wHash
|
ff8181818181bdff |
|
VISUAL
colorHash
|
07038008000 |
|
VISUAL
cropResistant
|
694f6d4d47716900,ce8e6c6cbebeb060,40cad29bafc2d2c0,ecf1f151754c8826,fffff7f5d6fcdfdf |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)