Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13F32737091149E2761D3E6E5B671EB5B33818386CB0B473667F0439ADACDDA0CC6628E |
|
CONTENT
ssdeep
|
192:uggHlBDuDzefmogHlc6gHla6MFl59dimenlUON3BgHl46pQRqkpsFeN3IoIgtPA:/GlRuDoGljGl96l5G1lrRGlCR9e |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d634b6923492b6e6 |
|
VISUAL
aHash
|
06303008303c3c30 |
|
VISUAL
dHash
|
dcc3e4d86869e9e4 |
|
VISUAL
wHash
|
6670783c3c3c7c3c |
|
VISUAL
colorHash
|
38000000e00 |
|
VISUAL
cropResistant
|
02c40b072723c802,dcc3e4d86869e9e4 |
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.