Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A36409F8835813B1868B8BD4F9B15B0A379751AEEA824748C3E48AE0FFE2DC5D435C51 |
|
CONTENT
ssdeep
|
3072:inDFKTa7jDw/4Q1pSBn1pSBy1pSB61pSBo1pSBafoi2cluAkYc1Dr:IFV7jDw/47g7/tL |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9ae075cf0b38de30 |
|
VISUAL
aHash
|
00003c3c3c3c0000 |
|
VISUAL
dHash
|
aac4f86169697905 |
|
VISUAL
wHash
|
007e7e7f7f7c0400 |
|
VISUAL
colorHash
|
3a000000e00 |
|
VISUAL
cropResistant
|
c0c0d0c080808080,aac4f86169697905 |
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 534 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)