Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16A131E30A860D92640CFA9D99176572A62F6D30ACA0306E9FAF5C7F54BDED6CCE33150 |
|
CONTENT
ssdeep
|
384:tNWusJO5xVZjqTSyBYzrtXKTsoszrj2JQolraGaFP5NL54PXHoOroUa87e:tXsIx/jNrusoEHUQopfE7cHMUf7e |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
fd93a90280bcd73c |
|
VISUAL
aHash
|
ff0000000000c1ff |
|
VISUAL
dHash
|
ba38381c244c2b2a |
|
VISUAL
wHash
|
fffe80800000f7ff |
|
VISUAL
colorHash
|
1a0000001c0 |
|
VISUAL
cropResistant
|
00323a245800185a,2b2b2b2b2a406260,3838583404c90c2b |
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 45 techniques to evade detection by security scanners and make reverse engineering more difficult.