Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FF325233E600DD2A8D9B95C8F6C09989415DC385FB3148CAA2B491FF7BC5DF029A879D |
|
CONTENT
ssdeep
|
192:t/JgdpGuaLezPtxavYaSwxIMcnthWeNWbgNST/fMmUU8VCos9:YpGuaLeztxFnNSrfMmUFCos9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ca4abd2a431dbd52 |
|
VISUAL
aHash
|
00f0f070f0ffffff |
|
VISUAL
dHash
|
4181e0c0c1018000 |
|
VISUAL
wHash
|
0060e02060ffffff |
|
VISUAL
colorHash
|
066000000c0 |
|
VISUAL
cropResistant
|
a181c0c0c1008100,f5f7fc7f373c3131,4181c1a1c0c0c0c1 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.