Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1846232F29415993727B3C6D5B3B2B74BFA918585C883814EC0F9E35D2FE2E61EC1A211 |
|
CONTENT
ssdeep
|
192:3AXUsPJCFTOd92wtZ7I0xJ0HCiqUT4px7erN4926WKvPkF:XiJ06d9VI0r0HCKEpxCB492FkPkF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
de1c6161617c7cd4 |
|
VISUAL
aHash
|
80009c9effffffff |
|
VISUAL
dHash
|
0bb8343413202024 |
|
VISUAL
wHash
|
00009c9cffdfc3c3 |
|
VISUAL
colorHash
|
070020000c0 |
|
VISUAL
cropResistant
|
0bb8343413202024 |
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 11 techniques to evade detection by security scanners and make reverse engineering more difficult.