Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17DC3D7E092116D7D803343E9F769BB2D31F18285CB840195A5F4933D1BD2EE9F9A78AC |
|
CONTENT
ssdeep
|
1536:uQ//3tFz2KNK00x6ZK00x6jx0u4Ghu+urP:uQnLNK00x6ZK00x6V7M |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
95b44a9f69ca96c8 |
|
VISUAL
aHash
|
ff0e4e4e0a0e0000 |
|
VISUAL
dHash
|
339e9e9a9a5e1c60 |
|
VISUAL
wHash
|
ff4e7e6e0e0e0e00 |
|
VISUAL
colorHash
|
39201000180 |
|
VISUAL
cropResistant
|
3f3b3337171f1d39,339e9e9a9a5e1c60 |
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 84 techniques to evade detection by security scanners and make reverse engineering more difficult.