Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A0A37A33411875274037C6D530A95B3BE2E69A4FFAA70A014EECD7FA2BFAC90745711A |
|
CONTENT
ssdeep
|
1536:mqB3NLz4NP/y9svbliCdJsweEr0xJu5FtWAuCa2HX2ZP4:bB3lmAkeEr0xJuw4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3439d3ab838f562 |
|
VISUAL
aHash
|
00200000000071ff |
|
VISUAL
dHash
|
68c8c0c0c8c4e3c8 |
|
VISUAL
wHash
|
00786070fc20ffff |
|
VISUAL
colorHash
|
31000c00000 |
|
VISUAL
cropResistant
|
49004000185880a0,19c8c8c0c8c8d4e1 |
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.