Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T168B36DF5A684FE2204F380D7B1979693B7BD050AF71C4990B68E8AC573D986B82772D0 |
|
CONTENT
ssdeep
|
3072:Ny8+Ykqk7K1U6VbgxOwWoaP6FeRGntQiAGhkcMBVw:Ny8Nm7K11bgx9Za8eRVfbcMBVw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c792b438b4a6c66e |
|
VISUAL
aHash
|
7e3c7c3c0000007e |
|
VISUAL
dHash
|
ccd0e8ccc0c0c0c2 |
|
VISUAL
wHash
|
ff3c7e3c2020207f |
|
VISUAL
colorHash
|
38000e00000 |
|
VISUAL
cropResistant
|
724a63629e961cc2,d1f3f3b7b6b6c4f4,ccd0e8ccc0c0c0c2 |
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 32 techniques to evade detection by security scanners and make reverse engineering more difficult.