Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1167361B241426A7F148386D1971CE35AD387D209C7E7494A97E8837F27CBDE0DE3A1A4 |
|
CONTENT
ssdeep
|
1536:ceAFdgNDcLO0G473+qyyL0jqGRFv780Wl:g/Mf3vnWl |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e840a69e367eb692 |
|
VISUAL
aHash
|
00000000ffffffff |
|
VISUAL
dHash
|
ccd3833394332314 |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
06010000e00 |
|
VISUAL
cropResistant
|
21da98d9d1d9989a,135fad96e7d38aac,38789d9c8c8c8d8f,b032739595494b43,82a28ecccc8ca282,0502382727240786,84ebf1d38b2b1393 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)