Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17C73653A4400A43E22B371EE8A5CDE0D63DDB056CE5141A865EAC35817C7FB39BB974E |
|
CONTENT
ssdeep
|
768:4jsUTnUPwtLFFZ62+/arq+wlIFKjy1PnZFHhSPBQ+vS:4jsUTUj2tlbFKjy1PnZePq+vS |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8778a55a59255bac |
|
VISUAL
aHash
|
000020003c3c3f3f |
|
VISUAL
dHash
|
d4c5c9c1e9e9f6e6 |
|
VISUAL
wHash
|
407070687d3c3f3f |
|
VISUAL
colorHash
|
11007000000 |
|
VISUAL
cropResistant
|
a2014165154100d2,828141159d418082,89ac4c2d4c0d3981,d4c5c9c1e9e9f6e6 |
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 180 techniques to evade detection by security scanners and make reverse engineering more difficult.