Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17C818CB413C0144EEB83FEC4A4127F195D4BC52BF62AC86D616C586AE7C4FB0C69B3A5 |
|
CONTENT
ssdeep
|
48:wjHceGTAEMVeUFtdddvYiK8Nt3uu2PI92ClZG0d4BXr+mHVLd8nk009rqk35thX4:l+Q0KU7J4BXrDHxd8mp35thEbRQ+QSpt |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a7724c0d590d3f72 |
|
VISUAL
aHash
|
00ffffffffff3fff |
|
VISUAL
dHash
|
80080c0c08ec6000 |
|
VISUAL
wHash
|
00e7e7ffff170000 |
|
VISUAL
colorHash
|
07202000080 |
|
VISUAL
cropResistant
|
8c0c0c0c08e86000,0000014141018000 |
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 313 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)
Found 1 other scan for this domain