Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T143C17B71A186BD73015386E09737572BF6D0864ACE57061187F883EEBFDACA4EE1B150 |
|
CONTENT
ssdeep
|
48:pStC88DH3CXkDHRhDHWfsDHGXkDH3G2rZMDKUIBsIZBQLBYHWcDID84TrHzh5gyZ:fSDuMmYs4XT4Hfe+vFTQWa |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b13c336665993167 |
|
VISUAL
aHash
|
c3c3c3c3e3c3e7c3 |
|
VISUAL
dHash
|
96869696068e9e9e |
|
VISUAL
wHash
|
c3c3c3c3c3c3c3c3 |
|
VISUAL
colorHash
|
06202008000 |
|
VISUAL
cropResistant
|
96869696068e9e9e,9a867169696912a4,cc4c29e7d6d8b8f1,61f4a42da36f5ad2,33728ccf8eccceaa |
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 27 techniques to evade detection by security scanners and make reverse engineering more difficult.