Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F963B7604246461AE697E1C0FE32AF4A93858349C2074D6CB7F36927FE8ED74ED3D690 |
|
CONTENT
ssdeep
|
1536:t47csK4usrGbSntyVAzrUL28dgh6XEi6eeekeee8eeeQeeefeeeZeeepeeefeeeN:uTybl |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
db95fae0a1c8c8f0 |
|
VISUAL
aHash
|
ff001808091800fd |
|
VISUAL
dHash
|
397830535ba33919 |
|
VISUAL
wHash
|
ff08183969d880ff |
|
VISUAL
colorHash
|
00038000000 |
|
VISUAL
cropResistant
|
0029092121890078,8080c02b29a08080,3939393939399000,3838305b5ba3b939 |
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 136 techniques to evade detection by security scanners and make reverse engineering more difficult.