Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19E22B0E032645EF64783B2D3915ADF4930C492FACA89334131E917EBB6F1C509B99C76 |
|
CONTENT
ssdeep
|
192:MHSC7EA2oUm/f0Vb9cqnQGZUmbFG29Q2UmbFG29yUmbFG2rf+GVgPsIsEXir:+SiZFs42hxhEhT8PtA |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c8372cdc63721967 |
|
VISUAL
aHash
|
0018183c3c181818 |
|
VISUAL
dHash
|
96b2717945b171f1 |
|
VISUAL
wHash
|
1b1b3c3c3c3c3c3c |
|
VISUAL
colorHash
|
38000c00010 |
|
VISUAL
cropResistant
|
9697581a1a5a4845,96b2717945b171f1 |
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 61 techniques to evade detection by security scanners and make reverse engineering more difficult.