Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17E3318F853A4E6FAE105D3E4DA650539735A11FAEA82C710C3FD9F9C98E588EDC48881 |
|
CONTENT
ssdeep
|
768:1hXTRlXND9bVOvuOz+JQIRVCiCbDrkleEQ8hXTRlXND9bVN:/RFVUuOwadUhRFVN |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bb2ac459dbc093d2 |
|
VISUAL
aHash
|
ff01010d0d0dffff |
|
VISUAL
dHash
|
b70f9d5b5919ccc0 |
|
VISUAL
wHash
|
ff0101010d09ffff |
|
VISUAL
colorHash
|
1b2000c0001 |
|
VISUAL
cropResistant
|
0102c0b5b002078e,f7eedcf1e0c48613,feffe08ffde264f0,f0d0989c9c989187,8080c0c08464e2e0,070f2ddb5b591919 |
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 46 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)