Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15CD29732B1002A3781D793DCB3A1B31EE2A75749E747091691F983AE4BA3D64DE33526 |
|
CONTENT
ssdeep
|
384:NScy5NR5MIuCgB+ssp36AWfyj+H8bT/2Hm/KIYsOy2+y9BH4cUUIe:NScy5NR5uyWYlbT/e7sOy2+y9BH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363b41adc28d3e3 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
14cccac2c0cde100 |
|
VISUAL
wHash
|
00f7e2303004ffff |
|
VISUAL
colorHash
|
31000400030 |
|
VISUAL
cropResistant
|
008080024c888000,948ccec2e0c0cde1 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.