Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T157241AE49200577F644747EEFB24FBB4D31E6298F36A9C45F6EC0211B2C6E96D636088 |
|
CONTENT
ssdeep
|
1536:mDY73XsvXsepzmpzb1FXsXicyBlzI7xQ1bgUNAgU7jizY+jDgDA85:moXsvXspXs7 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ef6bc4a41d1b9292 |
|
VISUAL
aHash
|
db818101e7e7ffff |
|
VISUAL
dHash
|
332369734d0c7150 |
|
VISUAL
wHash
|
89810000a7e7ffff |
|
VISUAL
colorHash
|
07006200008 |
|
VISUAL
cropResistant
|
332369734d0c7150 |
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 19 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)