Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11FC2C736A1006E37819782CDB271772E92F7434AEB86061992FD83AF17E7D54CE2342D |
|
CONTENT
ssdeep
|
384:r1QepxvctRnREFJmz+xyHxs6PO6ZnXYCevFIYsOy2+y9BH4ciUIe:RQepxo+Os6G6ZSvF7sOy2+y9BH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c243dd3a9829b9b9 |
|
VISUAL
aHash
|
002000000000ffff |
|
VISUAL
dHash
|
e8ccc8c8cdcd8300 |
|
VISUAL
wHash
|
0c7430206465ffff |
|
VISUAL
colorHash
|
39030000200 |
|
VISUAL
cropResistant
|
0080800030b08000,e8cccce0c8cd8d83 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.