Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T103F202027204A9A5C2F349DD9500659460C7EF4ECC7187708AB95E3B27E7AB537E8B3E |
|
CONTENT
ssdeep
|
768:Frc3wy7mmavM/hGE0MZgoOY53VJbN/J1KPBzy79jY:FY3WmamGE0MZNOY53VJbN/J+sY |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9550ea35d32dd427 |
|
VISUAL
aHash
|
cccc0e1e060603ff |
|
VISUAL
dHash
|
989cb83a983a6f05 |
|
VISUAL
wHash
|
eccc4e1e0e0603ff |
|
VISUAL
colorHash
|
07606000000 |
|
VISUAL
cropResistant
|
ba89e9f961276567,989cb83a983a6f05,cc8e8e3cbca6ae27,06233212d3d3d3f2 |
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.
Pages with identical visual appearance (based on perceptual hash)
Found 1 other scan for this domain