Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15B231BE93852F5134B7350E350AF294B733E242FA80C49A0A164DEE975F8469607BFDE |
|
CONTENT
ssdeep
|
768:TyWu/WuyZPL/ubs/9RX8U7hm4J4T4Y47lSxHyOzxHRBaW/Sy3sIWj8zZs8LMRZE2:3J/7kyOloQzZs8oWQbp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cbd0b4b59427ca4b |
|
VISUAL
aHash
|
fff9f99999f931ff |
|
VISUAL
dHash
|
cc03833133636359 |
|
VISUAL
wHash
|
fff9f808010931f5 |
|
VISUAL
colorHash
|
07000000c00 |
|
VISUAL
cropResistant
|
cc03833133636359,630743746f17ce4d,411024b2b2320c51 |
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 695 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)