Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10DF2F93161046B3F4287C3CCF351F72AB2B75289CA86161582FD876D4BB6ED1ED23929 |
|
CONTENT
ssdeep
|
768:9uy5NX+IOVM3CiZdK9fNZGrK7rOI4awSfsvCd8oWkxgCMUc3MrCiIEb7sOy2+y9j:9ZOVM3CiZdK9fNZGrK7rOI4awSfsvCdx |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d36bf854c512cd8a |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
074949c9e06c6d00 |
|
VISUAL
wHash
|
00e57d20300cffff |
|
VISUAL
colorHash
|
39e00010000 |
|
VISUAL
cropResistant
|
82300c8e86300582,4080800270908000,854d49e9c8e07c6d |
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.