Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CC932BB03012762B526346F56157B7AD327DA71EDC4BC804F3B8A2A23BD9CD15682FA4 |
|
CONTENT
ssdeep
|
768:r2qSt9nKPJYZG0C28QPWlGwk1eIJGFdnXHIP+xWiedZMmyz8D2+8XkT5dhcLXUHY:boZjyPocnIEdRQQn |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e81786f9e8976c11 |
|
VISUAL
aHash
|
ff0000c3c1c1ffd3 |
|
VISUAL
dHash
|
33cbc40b0b036123 |
|
VISUAL
wHash
|
ff0000f3c1c1ffd1 |
|
VISUAL
colorHash
|
07000000180 |
|
VISUAL
cropResistant
|
cc02333364692c68,2b0b030303412723,1008303232100800,6c2090c8c0c0c0c0,0c48182808484820,0e0e0e0606060404 |
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 207 techniques to evade detection by security scanners and make reverse engineering more difficult.