Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FE037538AA847A331897A6E062265BFFB79DC11BE233194165F3C3B51BC1EA8CD79111 |
|
CONTENT
ssdeep
|
768:ePnYh9++HFq87S+kzimlg+VLiIvXAMgYnW:XVqvRvXAMgYnW |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8526ba39ed64d619 |
|
VISUAL
aHash
|
00013373397f07ff |
|
VISUAL
dHash
|
deffe6c6d3d3ffff |
|
VISUAL
wHash
|
000033733b731fff |
|
VISUAL
colorHash
|
000000001c0 |
|
VISUAL
cropResistant
|
4d69da9a9115b61e,cc80809a92a080d4,2a2c94a21293d1f2,73738c9c29c8ed95,d280a08b8f8080c4,f7c7efffffffff00,deffe6c6d3d3cfff |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.