Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1484133A20001884B111A92E8F577211E91CAD538CF41CE169FEC43DEABEADABDCA505D |
|
CONTENT
ssdeep
|
48:nCbr9JgKlYclcz5ZTtDdTMK4pHJ2h1pZ23fdmlViHWRISJSJSJSJSL:nCgiIZFaKRk3VsAOISJSJSJSJSL |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d78e6c6283c57c38 |
|
VISUAL
aHash
|
0020007e3c200010 |
|
VISUAL
dHash
|
646930e87948c8f0 |
|
VISUAL
wHash
|
b03c00ff3cbc20fe |
|
VISUAL
colorHash
|
13000018002 |
|
VISUAL
cropResistant
|
e8c080a2a28080c4,646930e87948c8f0 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.