Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13612EEE1C154DD3B036292C9FBB66B5B77A1C385CF03094453F8936BABCADA0CE12599 |
|
CONTENT
ssdeep
|
192:QcZgzYhhjOl8iI4dIM8lQuXHIMtl7yIMEEWlc:QcwGjS17+M8lUMtl7/MEEW2 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ec64939b6c64c36c |
|
VISUAL
aHash
|
fff3c3d3d3ffffff |
|
VISUAL
dHash
|
2026062626100400 |
|
VISUAL
wHash
|
00d3c3c3c0dcfcfc |
|
VISUAL
colorHash
|
07000000038 |
|
VISUAL
cropResistant
|
2026062626100400 |
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 62 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)