Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FEA39B33411875274037C6D530A95B3BE2E68A5FFAA70A014EECD7FA1BFAC60745B11A |
|
CONTENT
ssdeep
|
1536:FcCTLz4NP/y9svbliCdxuWTmlnuiFtWAuCa2LX2ZP4:6CvmAyuumlnu/4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c743b53ab838f446 |
|
VISUAL
aHash
|
00202000000070ff |
|
VISUAL
dHash
|
48c8e4c0c8c4e3e8 |
|
VISUAL
wHash
|
00787070fc00ffff |
|
VISUAL
colorHash
|
31000c00000 |
|
VISUAL
cropResistant
|
69004000185880a0,48c8e4c0c8c8d4e5 |
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.