Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D8E132E1C008DD2603538AD6F7F56B1F6692C359CB020A8853FC53EB5BDBC60CA52699 |
|
CONTENT
ssdeep
|
96:TkC+EK7mohOhHWfeGzVF8oSS8ctmMTLp9ENwvlueRXgHlUeBXN4/h2QPJ:QCQ7mohOhHW1zE2IM/TECCZv4wQR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d257ad689e2960b3 |
|
VISUAL
aHash
|
003c7c3c3c40ffff |
|
VISUAL
dHash
|
48484861e9898b54 |
|
VISUAL
wHash
|
003c3c3c3c00ffff |
|
VISUAL
colorHash
|
0f4c0000000 |
|
VISUAL
cropResistant
|
7b63078745848581,68484861e9898b64,4b684c486169898b,c3055cf9e9e9eded |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.