Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EF63C7604206461AE697E1C0FE32AF4A53958349C2074D6CB7F36927FE8ED74ED3D6A0 |
|
CONTENT
ssdeep
|
1536:O4qcsK4usrGbSntyVAKiUL2ldgh6XEijeeekeee8eeeQeeefeeeZeeepeeefeeeD:QWcpo |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
db93d2e2a1c8cce2 |
|
VISUAL
aHash
|
ff001808091800fd |
|
VISUAL
dHash
|
793830535ba33919 |
|
VISUAL
wHash
|
ff08183969d880ff |
|
VISUAL
colorHash
|
00038000000 |
|
VISUAL
cropResistant
|
0049696161490078,8080c02b29a08080,3939393939399000,3838305b5ba3b939 |
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 95 techniques to evade detection by security scanners and make reverse engineering more difficult.