Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T171E2413052D9A8AB5107A1C6F9147F1D34F641FEFB67170612BC1ABE76E3C24C92A21B |
|
CONTENT
ssdeep
|
768:0ukBIIaOsiSz2U3nZip7V2nn2orATzJOIKg3PtQavh:7cIIa5r4x32avh |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c94bb670b4b6c9b0 |
|
VISUAL
aHash
|
003838786878ffff |
|
VISUAL
dHash
|
63d3f3d39bf3bb3c |
|
VISUAL
wHash
|
103838784078ffff |
|
VISUAL
colorHash
|
072020000c0 |
|
VISUAL
cropResistant
|
63d3f3d39bf3bb3c,64f2e170b0181858,a2910b93970d59db,4f0d4f4d4e4c8ccc,fc3e472a0f3b8381,000004b2b2080000 |
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 86 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)