Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T127D2A871B000263F029783CA7761B71EA2E3A289DB89091653FC935D5BD7F94DE3346A |
|
CONTENT
ssdeep
|
768:4eFy5Nr+vDiqrRnS12e5WYUkemTJ0k/s7sOy2+y9BH4crIe:LvDi6Rn0Wdfqo7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c343fd3cbc29c1c2 |
|
VISUAL
aHash
|
000064000000ffff |
|
VISUAL
dHash
|
dcc8c9cccc83c100 |
|
VISUAL
wHash
|
006c7f342400ffff |
|
VISUAL
colorHash
|
31018000c00 |
|
VISUAL
cropResistant
|
c2ced2cd68f18949,c000c00230b08000,c4c8c9c9eccc83c0 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.