Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13981DD761086F82710D39BE26A78876F36E5DB01DF53470582F58B2D1FE6D90CF12255 |
|
CONTENT
ssdeep
|
48:jFyd2QHAaQsbXpqaE595DUCAorSNkrlr5Njt65EFUHAGo:O24QsjpY95DLHrTc8b |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b16d9b92c6646999 |
|
VISUAL
aHash
|
ffcbc3c3dfcfdfef |
|
VISUAL
dHash
|
b89a9686949c981e |
|
VISUAL
wHash
|
cfc1c1c181859d81 |
|
VISUAL
colorHash
|
07000000180 |
|
VISUAL
cropResistant
|
b89a9686949c981e,9229e7c4c4d0bc03 |
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 9 techniques to evade detection by security scanners and make reverse engineering more difficult.