Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1258366A27846303A126FA2CF91176A0D63C193C9DB4116D5E3F8436CEAF6E90FAE1355 |
|
CONTENT
ssdeep
|
384:7A/hI192bIdRekNRupIdRdcNRuwU/kDp7xt3+9hHumbhHuDF13HOFfykDF4Ebkcx:sRZU/kd9VV1+FfOU+1w36ltCLYVYXv |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b243e9413ec638bb |
|
VISUAL
aHash
|
000004040400ffdf |
|
VISUAL
dHash
|
d4d32d2d2c9c2436 |
|
VISUAL
wHash
|
4078060686c6ffff |
|
VISUAL
colorHash
|
01000038001 |
|
VISUAL
cropResistant
|
4616232322320e0d,64ccf2ccca9a6692,c420300034343737,d4d4d92d2d2dbc84,d496943d79796d7d |
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 20 techniques to evade detection by security scanners and make reverse engineering more difficult.