Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1531200307042387762379A91F8A18B0D2617D335D746192CB7A417B7BBCDCE94A72BB8 |
|
CONTENT
ssdeep
|
192:lpncbbRgSLGnERjUFTf2QtFTfVZEu3JMLgLAvErEFt5LfJyLfk7LfWVLflwLfxw4:PnEvGnERqfVXfDEu3uL3Ft5LfJyLfk7h |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b333266666cccccc |
|
VISUAL
aHash
|
e7e7ffe7e7ffffff |
|
VISUAL
dHash
|
4d4d004d4d000c00 |
|
VISUAL
wHash
|
03030707e4fcfcfc |
|
VISUAL
colorHash
|
07000000606 |
|
VISUAL
cropResistant
|
4d4d004d4d000c00,212101617103630b,4500883030300155 |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)