Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F1E26431A1506A3B42D393D9B371A76AB3E2C2CADB42061553FC836D0FD6E84EE27915 |
|
CONTENT
ssdeep
|
768:WeaEOHvEiVZOhRC0myc+R7sOy2+y9BH4cLIe:zyH8RZJc+R7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d247b612e93899e9 |
|
VISUAL
aHash
|
002400000000ffff |
|
VISUAL
dHash
|
ccccc0c8c8cc8c00 |
|
VISUAL
wHash
|
24fc7010040effff |
|
VISUAL
colorHash
|
39c00008000 |
|
VISUAL
cropResistant
|
c3e3cdcdcdc3c3c3,0880880458988000,ccecc8c8c0cccc2c |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.