Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BAB37933411875274437C6D430A56B3BE2E68A5FFAA70A014EECD7FA1BFAC60745B11A |
|
CONTENT
ssdeep
|
1536:EOJ3Lz4NP/y9svbliCd3KW1XmG9ugFtWAuCa27X2ZP4:VJbmAM1XmG9ub4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c343b53ab838f543 |
|
VISUAL
aHash
|
00202000000071ff |
|
VISUAL
dHash
|
68c0c0c8c8d4c3c8 |
|
VISUAL
wHash
|
007c6070fc00ffff |
|
VISUAL
colorHash
|
31000c00000 |
|
VISUAL
cropResistant
|
0000400058588090,49c8c0c0c8c8d4c2 |
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.
Pages with identical visual appearance (based on perceptual hash)