Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16FB38430A284177D645787F5F6A5B33852AED28ED50F8865E2AC03B64BCED84BD332D4 |
|
CONTENT
ssdeep
|
1536:jf1lBM8bWvkLbz432TAnH//g//L//u//FzVtNHEu:jfTBfb4mTwGDgHf3 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cbca3434dacb6525 |
|
VISUAL
aHash
|
00003c7c3c3c0000 |
|
VISUAL
dHash
|
f0b4e0e9f0e0d4f0 |
|
VISUAL
wHash
|
00187e7e7e3c3c3c |
|
VISUAL
colorHash
|
38038000000 |
|
VISUAL
cropResistant
|
3535b63232b24d49,0eacacb2baacacae,9ada5a9a5a5aa5ad,f0b4e0e9f0e0d4f0 |
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 82 techniques to evade detection by security scanners and make reverse engineering more difficult.