Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19273DB962858601A072340D3B4BB3B8EF7361C6FB91955E1B4B4C7A572F88F5206AF4F |
|
CONTENT
ssdeep
|
768:PyWusPcNwG/WuyFvtLoRH8n+r2R/jwq/uLjCfMD5/1XYM1qzT1nUSLF9zZMQ4bIV:i6gmLhsyOloQzZs8oWQbp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e46ccc339b993326 |
|
VISUAL
aHash
|
e7f3c3efc7c7cfe7 |
|
VISUAL
dHash
|
0604051e0d1d1e0e |
|
VISUAL
wHash
|
c0c0c0c0c7c7c3c2 |
|
VISUAL
colorHash
|
07000000c00 |
|
VISUAL
cropResistant
|
0604051e0d1d1e0e,632783a06f370fcc |
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 700 techniques to evade detection by security scanners and make reverse engineering more difficult.