Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T143D2B47011B29A2C506FA3F9F2657B5AA157C30ED3A753EA62DC427103CBC56EC239C8 |
|
CONTENT
ssdeep
|
768:ZEHuWrzx4wv+SuqPETkHnFUk/hWFG8uRHbUgEwoDlAg3klNbrz:Z+zx4wv+SMYHFh5WDtF33klJ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c545121b6d3b92ed |
|
VISUAL
aHash
|
0073f3f3f30fe1ff |
|
VISUAL
dHash
|
c9c78686c6080700 |
|
VISUAL
wHash
|
007ff3fbf3070007 |
|
VISUAL
colorHash
|
07200000e00 |
|
VISUAL
cropResistant
|
c9c78686c6080700 |
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 5 techniques to evade detection by security scanners and make reverse engineering more difficult.