Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18F73847651466A3F208386E1935CE75AD3C2E20AC7E7894AD7E8831F37C6DE0DD36168 |
|
CONTENT
ssdeep
|
1536:K1UIwrgDcol0/4a7exJy404NGnnjgb0Hl:9bD9njhHl |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e840a69e367eb692 |
|
VISUAL
aHash
|
00000000ffffffff |
|
VISUAL
dHash
|
8cd3833394332314 |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
06010000e00 |
|
VISUAL
cropResistant
|
21da98d9d1d9989a,3229cd2b6b4c4536,38789d9c8c8c8d8f,b032739595494b43,82a28ecccc8ca282,0502382727240786,84cbfbd38b2b1393 |
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)