Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11E234A726332B87843DB92EDF7382A46B2D2588DE8C74554F5C95ACE23C3C816197BB4 |
|
CONTENT
ssdeep
|
768:aQ+EsZx8/G8wc48DawIM/BTwUM/B17Ucix+y9dQpUDF1E56ITmHDLBABW8KPqDv1:aQ+EsZ/8wn8DawIM/BTwUM/B17UXx+ya |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
fad0eccdd19284e4 |
|
VISUAL
aHash
|
ff81858d81818181 |
|
VISUAL
dHash
|
23414d49494d0109 |
|
VISUAL
wHash
|
ff81e7ad81e98181 |
|
VISUAL
colorHash
|
3a000e00000 |
|
VISUAL
cropResistant
|
23414d49494d0109,3fdede8e64c6d0e0,23828c88c8ca20a8 |
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)