Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19EA39C33411875274437C6D530A55B3BE2A69A4FF9A70A010EECD7FB1BFACA0B45B11A |
|
CONTENT
ssdeep
|
1536:4WLz4NP/y9svbliCd/5dajn8xFtiuCa28y2O9:RmAMdIn8i |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9269ed12956d960f |
|
VISUAL
aHash
|
00800000040400ff |
|
VISUAL
dHash
|
09096343cd0c73f8 |
|
VISUAL
wHash
|
80e7fb090c0c3cff |
|
VISUAL
colorHash
|
39600030000 |
|
VISUAL
cropResistant
|
fefeffcfcffffefe,b000a08138388090,110947634bccdc73 |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.