Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T181C2A57260042F3B41D3D3D977A1BB2EA5A3C24EDA46090547FE439E0FA7E51CE2395A |
|
CONTENT
ssdeep
|
768:q0y5NJKb7N0Rfe7Gll357sOy2+y9BH4crIe:lbxuP7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc32c5cd926932ba |
|
VISUAL
aHash
|
3f138f8fffd3d1fe |
|
VISUAL
dHash
|
e7f61c1c3c3612d0 |
|
VISUAL
wHash
|
1f130f878fc0c0fe |
|
VISUAL
colorHash
|
07006000018 |
|
VISUAL
cropResistant
|
e7f61c1c3c3612d0 |
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.