Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CDC26432A0446A37A293D3D9B361776F52E3430EDA91152A92FA83BD0BD3D54DF2342D |
|
CONTENT
ssdeep
|
768:eUQepl2Geoi8WXIb3H4Z77sOy2+y9BH4crIe:T2XM3H457sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d247dd3a9829b989 |
|
VISUAL
aHash
|
002000000000ffff |
|
VISUAL
dHash
|
a8ccc8c8cd8d8300 |
|
VISUAL
wHash
|
0cf430006465ffff |
|
VISUAL
colorHash
|
39030000200 |
|
VISUAL
cropResistant
|
0080800030b08000,b8ccccc8c8cd8d8b |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.