Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E202F0E0C005FD3B436396D9A7B66B0B77D1C349CF02194493F883AF5BCAC90DA26999 |
|
CONTENT
ssdeep
|
96:TkfE1DtSTBEWhUSPRr8v67T1vPSFMGhlPZGXNCYrGhl5YjaXXCYrGhl02XlCYj/r:QfE1DcVB8iB2MGUCyGzCyGfCKEz7Dk |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b6a64ccd19993999 |
|
VISUAL
aHash
|
ffe7e7e7ffffff00 |
|
VISUAL
dHash
|
a24d4d4c08000400 |
|
VISUAL
wHash
|
ffc7c3c3ff640000 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
a24d4d4d4c200400,82a2a2a2a2a28201,82a2a2a2a2a28201,82a2a2a2a2a28201,880bf4c4c4d4ccf0,0000000000000000 |
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 55 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)