Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T131235A726332B87843DB91EEF7382A06B2D2948AF9C74554B5C95ACD13C3C816197BB4 |
|
CONTENT
ssdeep
|
768:ac+EsZx8/G8/ERF41Daw+MLBuwkMLBgUcix+y9dQpUDF1E56ITmHDLBABW8KPqDE:ac+EsZ/8/+O1Daw+MLBuwkMLBgUXx+yZ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc3a2e6b63632a2c |
|
VISUAL
aHash
|
009f9ffffffff7f3 |
|
VISUAL
dHash
|
4730371723320606 |
|
VISUAL
wHash
|
008b83c3d1dff3c3 |
|
VISUAL
colorHash
|
070c0000080 |
|
VISUAL
cropResistant
|
4730371723320606,00c91b190939d500 |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.