Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T123234A726322B8A843DB91EEF7382D56B2D2589DF8C74450F5C95ACD23C3C806297BB4 |
|
CONTENT
ssdeep
|
768:ah+EsZx8/G8m4HDaw7MDBzwFMDBUw9r82+/9dtZkDieE565TmHEnkvdhfVPqDv3A:ah+EsZ/8BHDaw7MDBzwFMDBUwh82+/9n |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ba67c394cc99c89a |
|
VISUAL
aHash
|
c3c381818f838f9f |
|
VISUAL
dHash
|
170f2b33371f1931 |
|
VISUAL
wHash
|
ffc3818183818f9f |
|
VISUAL
colorHash
|
07001000180 |
|
VISUAL
cropResistant
|
170f2b33371f1931 |
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.