Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14A92C87380C55A371673DB84A6107B0DF38F665BCD0A2A24C6D9C28F5BC1FB4CC6A1A5 |
|
CONTENT
ssdeep
|
192:0IEjjFgTACyPHUGWOXuYM3JbZ11m1MxJQ8xaBSSL1CRSS/ObGRzBHwb+JY7H6:ZEvGLysDyuYMZbkYv4NERSlb+BwqYO |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
926d9378e6c478c6 |
|
VISUAL
aHash
|
003c3c3c3c003c3e |
|
VISUAL
dHash
|
d4d0e0e4e8b9e8e8 |
|
VISUAL
wHash
|
403c3e3e3c0c3e7e |
|
VISUAL
colorHash
|
38200048000 |
|
VISUAL
cropResistant
|
aabab6e65ecece1f,8caad685eac6d9c1,c06c6d47417161e0,d4d0e0e4e8b9e8e8 |
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.