Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F2F13260E28131770173D2C6F7962FBBB2D1809ED6421B3152F89B9E8BEBC04D935D25 |
|
CONTENT
ssdeep
|
96:+RmSloSTtyzjLnkdoAlsi3gsdITy5EnDESIiQjISlQ/:+RJlhTtfVwseiEnKbjBlQ/ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cfb8a3a2b88fa063 |
|
VISUAL
aHash
|
fd18383c003c3c30 |
|
VISUAL
dHash
|
6168607044686868 |
|
VISUAL
wHash
|
ff3c383c303c3c38 |
|
VISUAL
colorHash
|
38006000000 |
|
VISUAL
cropResistant
|
0000000c4c000000,6168607044686868 |
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 47 techniques to evade detection by security scanners and make reverse engineering more difficult.