Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1ADA37933411875274037C6D530A55B3BE2E69A4FFA970A014EECD7FA2BFAC60B45B11A |
|
CONTENT
ssdeep
|
1536:f5MVELz4NP/y9svbliCdLtONF1tYFtWAuCa2nX2ZP4:yVqmAEtcF1tT4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c323b53ad42cbc4e |
|
VISUAL
aHash
|
0000000000007fff |
|
VISUAL
dHash
|
49c8c0c0c990e5c8 |
|
VISUAL
wHash
|
002c70f0fc00ffff |
|
VISUAL
colorHash
|
31000c00000 |
|
VISUAL
cropResistant
|
c000000058588090,69c8c0c0c9c991e4 |
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.