Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A8B3DF23411935274437C2D1346A5B3BD1B6999BFAE70E410EECCBFA2BF9CA0B41B519 |
|
CONTENT
ssdeep
|
3072:gL6bPQpSvAxDqaov0YeuUMkI1q3uD7o6A5QgslF2ww+VjrYtt2A+sjlA66KK0QeG:l |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9757ea1819c54f61 |
|
VISUAL
aHash
|
0000000000bfffff |
|
VISUAL
dHash
|
686ccc5cfc7c002b |
|
VISUAL
wHash
|
0006240e04ffffff |
|
VISUAL
colorHash
|
07000000c00 |
|
VISUAL
cropResistant
|
4d58d86c112020c0,0002418181410200,c4a4b034b4b1b0b4,8000618181410080,00204181a1014180,8a9292ac0cd02021,6c002957562b2b2b,486c4ccc5c5cfc7c |
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 113 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)