Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BB4419F8835853F196878BD4F9711A16339610AFFB924B48C3A48AE0FBE2DC9D435C61 |
|
CONTENT
ssdeep
|
3072:it2jTa7jDw/4Q1pSBn1pSBy1pSB61pSBo1pSBafoi2cluAkYc1DK:U2i7jDw/47g7/tq |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ce6131ce8a2dcf31 |
|
VISUAL
aHash
|
00003c3c3c3c0000 |
|
VISUAL
dHash
|
aad4e8696969690d |
|
VISUAL
wHash
|
007e7e7f7f7c0400 |
|
VISUAL
colorHash
|
39001000c00 |
|
VISUAL
cropResistant
|
8d9983e6a6a686a6,aad4e8696969690d |
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 596 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)