Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BB23B73144C45B3761E383C8D740A72BE3A68249B27AC54AF5E9831F4BC6F55DC27A6C |
|
CONTENT
ssdeep
|
768:cO6E8OPA0cPJij7nmhBxDZP7zL38+tG7FR5tpS7ocLddEwfY8VjO6EHy9P0:cO6E8OPFeMvKBx1PPL38+tG7FR5tpS7a |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
916ab8b1eeeb8690 |
|
VISUAL
aHash
|
ff0000006e6e4e4e |
|
VISUAL
dHash
|
71f0ccf0dcdc9cdc |
|
VISUAL
wHash
|
ff0014007e7e4e7e |
|
VISUAL
colorHash
|
02000000030 |
|
VISUAL
cropResistant
|
0021416363490006,d28fcbcb8e8ec694,84c4c0b4a00e1c88,53c08390e0301cc6,5c4ea36064585a31,32d0d4f0dcdc9cdc |
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 174 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)