Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D2C2A5729184273F02A3E2C9B355F72EA3E3828DD645181653FD47AE0BE6E50ED2351E |
|
CONTENT
ssdeep
|
768:PSXy5NMigPrqSU1nyWTIVdyj90Coqlfi7sOy2+y9BH4crIe:JgPrqSU1MdE90CoEi7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c76bfc32d82d9282 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
0c49c3c3c84ce600 |
|
VISUAL
wHash
|
80f571300406ffff |
|
VISUAL
colorHash
|
31000200030 |
|
VISUAL
cropResistant
|
208080106c888000,0c09c3c3e3cccce6 |
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.