Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EC443CF5536853F0D6470BE4E9711A46336910FEFB914A88C3A18EE0FAB2DD9D439CA1 |
|
CONTENT
ssdeep
|
3072:ioDZBTa7jDw/4Q1pSBn1pSBy1pSB61pSBo1pSBafoi2cluAkYc1Di:JZQ7jDw/47g7/tC |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9ab065cbcb09de34 |
|
VISUAL
aHash
|
00003c3c3c3c0000 |
|
VISUAL
dHash
|
8ab4796169693103 |
|
VISUAL
wHash
|
003e7e7fffbd0000 |
|
VISUAL
colorHash
|
39000000e00 |
|
VISUAL
cropResistant
|
c0c0d0c080808080,8ab4796169693103 |
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 616 techniques to evade detection by security scanners and make reverse engineering more difficult.