Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B1D144E0C514DD37475786D9ABF5AB0B77D2C349CB07094493F883EB5BCAC60CA25AA8 |
|
CONTENT
ssdeep
|
96:TkQMySzeFvMSfuSTCctupLSS8ct7LWJxCwvFzeyXFHF5eaXtX/wGYfGJ:QcSzeFdjWckpJVoxS2qeXoGuA |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e3d938b486c69c6a |
|
VISUAL
aHash
|
ffe8e8e0e7efe0e1 |
|
VISUAL
dHash
|
585b51c84b0b4f4f |
|
VISUAL
wHash
|
ffe8e0e0e3c1e0e0 |
|
VISUAL
colorHash
|
01200030000 |
|
VISUAL
cropResistant
|
585b51c84b0b4f4f,b2b2348c516b4444,ea9a86d6d6b49a05,8f2361793171330e,30323831565c99ac |
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.
Pages with identical visual appearance (based on perceptual hash)