Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10D23EA34A141AC3B80FB99D9A276632631F55385D6031684FABCC3F95BDED6EEA33005 |
|
CONTENT
ssdeep
|
384:IL41zGPUMM1EKwC7C9ligbBAaqnDwW2C5OMrDvKs99Y1n9NBLEMNsJO5xVZjqTS+:2SScMC7CC8r4AsIx/jUGUf7x |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ccfa33268b89ac33 |
|
VISUAL
aHash
|
81c0d8b818130303 |
|
VISUAL
dHash
|
130cb23223a79e07 |
|
VISUAL
wHash
|
c1e0d8fc193bb703 |
|
VISUAL
colorHash
|
38002000480 |
|
VISUAL
cropResistant
|
130cb23223a79e07 |
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 30 techniques to evade detection by security scanners and make reverse engineering more difficult.