Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D172973171581258726638A2F0F6376FB71605BE7B4748F075A5CA2BD2DC22FA072FA4 |
|
CONTENT
ssdeep
|
384:Fe+MDJas08nE1EeHPgSMPNi7YITb8zKsaLG:Fe+MDJd08nE1EeHPgjk7YIP8zNaLG |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e9c9c369c3693896 |
|
VISUAL
aHash
|
ffff81818181c3ff |
|
VISUAL
dHash
|
0233232b2b032b00 |
|
VISUAL
wHash
|
ffc381818181c3ff |
|
VISUAL
colorHash
|
17040e00000 |
|
VISUAL
cropResistant
|
0233232b2b032b00,2323010101010101 |
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 12 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)