Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T167F3F8F1A4A83B7F1446A3E97704D399B38280CCDF114E86E3F4D2C9A64FF61E962159 |
|
CONTENT
ssdeep
|
3072:gp8Sn2aJVtrYJVtrNxcp8SFcaJVtrYJVtrNx4p8SFcaJVtrYJVtrNx4p8SFcaJVr:8P2aJVtrYJVtrNxINcaJVtrYJVtrNxkl |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
92cd36696939963a |
|
VISUAL
aHash
|
007e7e7c7c7e0406 |
|
VISUAL
dHash
|
d4f4ccd0f0cc8cac |
|
VISUAL
wHash
|
007e7e7a7c7e0606 |
|
VISUAL
colorHash
|
06000000e00 |
|
VISUAL
cropResistant
|
69dd4969694c0d4d,d4f4ccd0f0cc8cac,8e8eccdcd8c8c8d6,4b3303d343d2d4c5 |
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 28 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)