Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T111A19562A049684D4253D292A6E2FB6AC399C050D6100D51D1AE0FEFADC5FA0E5B32DE |
|
CONTENT
ssdeep
|
96:v2HFZJHHFZOGoo0aV+UtXXrU0dcIdSiUtYVEuFAFNQL7:v2HFZpHFZOGoo04t+iFFEQL7 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc71659333cc7299 |
|
VISUAL
aHash
|
001818181c3c3c18 |
|
VISUAL
dHash
|
b270b2b079617071 |
|
VISUAL
wHash
|
1c3cbc3c3c3c3c3c |
|
VISUAL
colorHash
|
30000038000 |
|
VISUAL
cropResistant
|
d6def4cc8c888808,ccc9d9e171756647,43702292f2cec6e8,b270b2b079617071 |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)