Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T187E2A67250546A3B42E783D6B325671FA2E3C249EB96061243FD831C0FD7E90DEA752A |
|
CONTENT
ssdeep
|
384:keFdLYo2AO1d1T1wdklxuYdUMPz/DNYudRqSJqHsg0aHHj3IYsOy2+y9BH4cCUIe:keFdL9L67NVQ7sOy2+y9BH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d247b412ed38b8e9 |
|
VISUAL
aHash
|
002000000000ffff |
|
VISUAL
dHash
|
ccccc0c8c8cccd00 |
|
VISUAL
wHash
|
0cfc6000043effff |
|
VISUAL
colorHash
|
39c00008000 |
|
VISUAL
cropResistant
|
c3c3cdcdcdc3c3c3,0880900458988000,dcccc8d0c8cccccc |
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.