Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T157D2B631A150273F02A7C3C97365B71EA2E3934DDA96181643FD475E0BE7E40ED6362A |
|
CONTENT
ssdeep
|
768:2SXy5NKVGeeVJU1LTg4qBMCo9Qaz7sOy2+y9BH4c1Ie:nGeeVJU1BCovz7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c76bfd169029c592 |
|
VISUAL
aHash
|
000000000400ffff |
|
VISUAL
dHash
|
144dc3c3cc44e400 |
|
VISUAL
wHash
|
80e771300e00ffff |
|
VISUAL
colorHash
|
31000200038 |
|
VISUAL
cropResistant
|
208080106c888000,144dc3d3e1ccc4e4 |
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.