Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T153C32221C6E41333D205078AE3EB7756279AC1C7CDA2B9F8A1708175DBB9C891C77DA2 |
|
CONTENT
ssdeep
|
3072:Y6+vKmrjylK2E6IOZuagKI3ImJS20gIYLQICeIkPksuGIyIhuBnvO4d:Y6UKEQ5IZf3NSm |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c8cf77b4f91b8204 |
|
VISUAL
aHash
|
fff039f9ff650000 |
|
VISUAL
dHash
|
4a45f3d3a68d60c5 |
|
VISUAL
wHash
|
fff039f9ff600000 |
|
VISUAL
colorHash
|
06c00000000 |
|
VISUAL
cropResistant
|
8a46c5e3d3d3a68f,0020d0d0d0d02040,1292586563675e5d,4347c7c76d7c1a3b,371395590da30343,1e06071d565778e5,d3d3a6878d62e5c1 |
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 52 techniques to evade detection by security scanners and make reverse engineering more difficult.