Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1256396721242AA3F258782D0871CF359D3C6DB09C7AB5986EBEC439B27C7DA0DD39164 |
|
CONTENT
ssdeep
|
1536:ObnbJBlhR+9hJpjonAPaTmH+nMgjiArKYugvVRnwC6wm0XpdquMwaFupLu8EOJ/F:QN/D80oBwjX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c2506cbe96d696b8 |
|
VISUAL
aHash
|
00003c7e7efff1ff |
|
VISUAL
dHash
|
8c93ccd8cccc279e |
|
VISUAL
wHash
|
00003c7e7effd1c3 |
|
VISUAL
colorHash
|
06010000e00 |
|
VISUAL
cropResistant
|
ccc8d4cccc23869e,8c8bf393d0c8dcd4,4545293131314545,00454d7171514541,8118ba1a018cdeb6,d29a90142846c65e,d0934bdb182aa808 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)