Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11C210FB08045A55F43236E82F921EBAD6187868CDF533C14A5DC83DE5BE9DA0CC15254 |
|
CONTENT
ssdeep
|
24:hR0RPOBOBCDS2XLbMUTLWyi20DO8ouAuwIGgea:TJBOkDSoMWWP20DO8l/x |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93f339db0f64064c |
|
VISUAL
aHash
|
ffffffff3c000000 |
|
VISUAL
dHash
|
4a485444f0681650 |
|
VISUAL
wHash
|
ffffff3c3c000000 |
|
VISUAL
colorHash
|
07200c00000 |
|
VISUAL
cropResistant
|
084a487154617070,6871f06068163050 |
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 17316 techniques to evade detection by security scanners and make reverse engineering more difficult.