Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12123F93100C86B6B529343C4E311A61FE3D6C185F6BAD659F2EA872F96C4D84CC3BB58 |
|
CONTENT
ssdeep
|
768:5EynfjhAmrxmbFBVoQzAV0zbP+LFZdtzb2O/fQUpWaeV++qbXNk8nfjXc2YT:3hAmrxmbFB+QzAuGLzb2O/oFZ8XGSXcl |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9414ebebcacbc8c2 |
|
VISUAL
aHash
|
fd06060606fffff9 |
|
VISUAL
dHash
|
71ccccecec3c3313 |
|
VISUAL
wHash
|
fd060606061ff9f9 |
|
VISUAL
colorHash
|
0e000000180 |
|
VISUAL
cropResistant
|
0001496161490162,96d6e8b294710f8e,c030382333131113,ecccccccccececec,f0f0d8c8d0f0f4f6 |
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 174 techniques to evade detection by security scanners and make reverse engineering more difficult.