Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D4725721E510919F02BBD7CCF500EF4865AEB20FD58989B8F6B805A47FD7CB879261A4 |
|
CONTENT
ssdeep
|
192:m6oHKYwVoCOZFQFOZFQGpOZFjXnDP/WTM5UnUkgl3NWTM5UnUQglyNWTM5UnUdgS:up/ZW3Yn+ydPzgePW3Y |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b36664cc66663399 |
|
VISUAL
aHash
|
e7e7e7e7e7e7ffe7 |
|
VISUAL
dHash
|
4d4d4d4d4d4c0c4d |
|
VISUAL
wHash
|
c0c0c0c0c0e4c0c0 |
|
VISUAL
colorHash
|
07200010400 |
|
VISUAL
cropResistant
|
4d4d4d4d4d4c0c4d,c9ddd4ccdcd4c464,4e0e064661989292,6d7b5753d3c90f8b,ecc88acccc8ac8d9 |
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 5 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)