Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E5A39B33415875274437C6D430A95B3BE2E6994FFDA70A010EECD7FA2BFACA0745A11A |
|
CONTENT
ssdeep
|
1536:pLz4NP/y9svbliCd4qAcQdFtPbuCa2mG2AES9:JmAwQZ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363bc1aad6ac523 |
|
VISUAL
aHash
|
00002000000004ff |
|
VISUAL
dHash
|
91c8c8c2cac8cccc |
|
VISUAL
wHash
|
006cfc70203c7eff |
|
VISUAL
colorHash
|
310000001c0 |
|
VISUAL
cropResistant
|
0000c0814c4c8088,d088c8c2cac8cccc |
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.