Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T138132AE87912F512AEB751A740EF2803333E561B280D4960A218FEDF74B445AB06BFDD |
|
CONTENT
ssdeep
|
768:w2Jq2pPP+y4c7vMlI9UfqzdrRHcyMBWk2sClYQg/A:7qOoc7I6rRqQR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93db4959a6361a59 |
|
VISUAL
aHash
|
0c0c0c070f0e0603 |
|
VISUAL
dHash
|
5ada594c8a8a0e0e |
|
VISUAL
wHash
|
ac4c8cafef0f0607 |
|
VISUAL
colorHash
|
30001000280 |
|
VISUAL
cropResistant
|
b089808180808000,8080808080808080,5ada594c8a8a0e0e |
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 52 techniques to evade detection by security scanners and make reverse engineering more difficult.