Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16EE11FF0D040ED37475386D9A7B56B0B7791C389CF070A4493F893AB6BCACA0CB1569A |
|
CONTENT
ssdeep
|
192:Q1JnbzD715lt8iIGKpyYMxVEOpmSBX0K8w:Q1pnf1ZKpLMxVnrGK8w |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3b34e994cccb131 |
|
VISUAL
aHash
|
ffffffffffff0000 |
|
VISUAL
dHash
|
08080c0818002010 |
|
VISUAL
wHash
|
fce4e4c4c0c00000 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
00080c0c10181800,0000000000000000 |
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.