Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DAC2857191002B3F12A3C3C97361B76EA2E3934ED74A181653FD476E5BEAE40ED1361A |
|
CONTENT
ssdeep
|
768:xSXy5N4xAZCeZGcpML2uXCoSDX7sOy2+y9BH4cLIe:WAZCeZGcpMpCoiX7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c36bfd32d06d9182 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
1c49c3c3cc4cc600 |
|
VISUAL
wHash
|
80fd71300c00ffff |
|
VISUAL
colorHash
|
31000200030 |
|
VISUAL
cropResistant
|
348080106c888000,0c09c7c3e3ccccc6 |
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.