Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19923C030650935A74267D4C5E870BF097193E36FC54785502BBCB26A0FD7EB0FA2A4BA |
|
CONTENT
ssdeep
|
1536:57mO0SMdBqoAF2bxc+9mlBS6lNfg6ZgHnJ5RS/uNM8BaQw72OS7977Wk77p7Un7L:YO0mF2bxc+9mlBS6lNfg6ZgHnJ5RS/um |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c7e53a308b799a34 |
|
VISUAL
aHash
|
003e3e3c3c00003c |
|
VISUAL
dHash
|
4acce8f0f4147169 |
|
VISUAL
wHash
|
b97e7e7e3e00003c |
|
VISUAL
colorHash
|
380020001c0 |
|
VISUAL
cropResistant
|
d54dc5c4f1b19070,7f7fffbf3fcfcf7f,80c0c0ba33802b2b,4acce8f0f4147169 |
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 262 techniques to evade detection by security scanners and make reverse engineering more difficult.