Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CB4419F9835853F196874BD4F9711A1633A610EEFB924B48C3A48AE0FBE2DC9D435C61 |
|
CONTENT
ssdeep
|
3072:i1zmTa7jDw/4Q1pSBn1pSBy1pSB61pSBo1pSBafoi2cluAkYc1Dd:2zB7jDw/47g7/t9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9a6175cf8a98da70 |
|
VISUAL
aHash
|
00003c3c3c3c0000 |
|
VISUAL
dHash
|
861c79616969690c |
|
VISUAL
wHash
|
000c7e7fbdbf9500 |
|
VISUAL
colorHash
|
31000000e00 |
|
VISUAL
cropResistant
|
c0c0d0c080808080,861c79616969690c |
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 525 techniques to evade detection by security scanners and make reverse engineering more difficult.