Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10B73537111427A3F119382E69358E35AE383D206C7B78A9BD7EC835B27C6DE1DC39168 |
|
CONTENT
ssdeep
|
1536:416Wu/+DcE10C4cjmZVyg0dZGGtXST0rxVuz8ra:T6rGiXXNa |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c2506c3e96d496fc |
|
VISUAL
aHash
|
00003c7e7efff1ff |
|
VISUAL
dHash
|
8ccbccd0cccc23cc |
|
VISUAL
wHash
|
00003c7e7eff81e7 |
|
VISUAL
colorHash
|
06010000e00 |
|
VISUAL
cropResistant
|
c8c8d4cccc234c4c,848fc9c3c8c8dcd4,4561417971690141,00454d7171414541 |
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)