Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E24409F8835853F196874BE4F9715A1633A610EEFB924748C3A48AE0FBE2DC9D435C61 |
|
CONTENT
ssdeep
|
3072:iz6CJuDTa7jDw/4Q1pSBn1pSBy1pSB61pSBo1pSBafoi2cluAkYc1DM:wQC7jDw/47g7/ts |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9a3075cbca8ade34 |
|
VISUAL
aHash
|
00003c3c3c3c0000 |
|
VISUAL
dHash
|
a29c78616969690c |
|
VISUAL
wHash
|
001e7e7f7ffd0400 |
|
VISUAL
colorHash
|
39000000e00 |
|
VISUAL
cropResistant
|
c0c0d0c080808080,a29c78616969690c |
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 530 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)