Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C5D369B028E77E23014771C5ED6E57076AC89348CD8616CC5AAB4EE81AD6F91F80973F |
|
CONTENT
ssdeep
|
3072:Rcj1U5ix7YZM+4ZOLZ8ZNCDNOZ+ZpKf0ZqUZCZUZtZmZHGwFuZoZf7E6S4a3VBJc:R15ix7+teO1aI2ktqSgSHsUuDN |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b047cf32676d3249 |
|
VISUAL
aHash
|
20ffdfc3c3c3c3ff |
|
VISUAL
dHash
|
ce381e0f1f0f1b1f |
|
VISUAL
wHash
|
00cfdf83c383c3c7 |
|
VISUAL
colorHash
|
06e00000040 |
|
VISUAL
cropResistant
|
ce381e0f1f0f1b1f,7050d0f1dbdbeac6,01030b0b0b0b0083,01018a8b8a830003,0000000000000000,c4c4ccccccdecccc |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)