Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CD928633B220C5164ADF76D9F5C4AB89101F9345E6718FCA20D862BBABC1CE8576639C |
|
CONTENT
ssdeep
|
192:3MD4duK1pj6UJ2D7McnthWeNWbrfMmUU8VCo3aDyOvLZtoiEGzttK3SaU:JuKj6UJTfMmUFCo3a3nb |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a929d62bd42bd629 |
|
VISUAL
aHash
|
03030303030303ff |
|
VISUAL
dHash
|
dbd3d3d3c3c3cb0b |
|
VISUAL
wHash
|
073b3b23232303ff |
|
VISUAL
colorHash
|
16007000000 |
|
VISUAL
cropResistant
|
dbd3d3d3c3c3cb0b,cac8d8e8e8e0e0c4 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.