Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T103326233F600CD2A49AB968CF6C09689415ED345F73148CAB26091FF7BC4DF069AA79D |
|
CONTENT
ssdeep
|
192:yIjebiYcLcdch4mGEsuzAT1eExY3XMcnthWeNWb/fMmUU8VCoSdFV2v9:GcLcdch4mGE9uu3AfMmUFCod |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f0e80f0f0f170ff0 |
|
VISUAL
aHash
|
00c3c3c3c606060d |
|
VISUAL
dHash
|
7b9e9e9e9e7cfcf9 |
|
VISUAL
wHash
|
01c3c7c7cf0f0e0f |
|
VISUAL
colorHash
|
00000000038 |
|
VISUAL
cropResistant
|
f5fbf6e4d8b0e080,f2c0fab0c0517180,7b9e9e9e9e7cfcf9 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.