Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BCC2F97BE2C4239A01D321A2FF467AABD53D845CE371D150DCBAC58162818FDC2776EA |
|
CONTENT
ssdeep
|
768:P0nrtQbwJ0+I3F5byuWTxirMMraG7NcK9UwJj9kcCT:wpM+IOdFWcK9UQjA |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c696393b69e3e830 |
|
VISUAL
aHash
|
003e7e7c203c3000 |
|
VISUAL
dHash
|
d374e4c8c8d0c8d0 |
|
VISUAL
wHash
|
203e7efe703c3c28 |
|
VISUAL
colorHash
|
30000640040 |
|
VISUAL
cropResistant
|
d374e4c8c8d0c8d0 |
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.