Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T142A37A33411875274437C6D530A95B3BE2E68A8FFAA70A014EECD7FA1BFAC50745B11A |
|
CONTENT
ssdeep
|
1536:iZ9PLz4NP/y9svbliCdXdvetyuXFtWAuCa2zX2ZP4:s9zmAyBetyuS4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c343b53ab838f543 |
|
VISUAL
aHash
|
00202000000071ff |
|
VISUAL
dHash
|
48c8c0c8c8c4c3c8 |
|
VISUAL
wHash
|
007c60707c20ffff |
|
VISUAL
colorHash
|
31000c00000 |
|
VISUAL
cropResistant
|
c9004000185880a0,49e8c0c0c8c8c0c9 |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.