Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D5325233A200CD2A4D9B51C8F2C49589515DC345FB324CC6B2A491FF7BC5CF06AA93AD |
|
CONTENT
ssdeep
|
192:7XkIdOj6nLkefFaF6swdm8mB3bZxkMcnthWeNWbzfMmUU8VCo1Q:NOj6nLkefFaF6swdm8mdbfMmUFCo1Q |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b0f40f070f572bf0 |
|
VISUAL
aHash
|
02c2c6c6c60c0c0d |
|
VISUAL
dHash
|
7eb6b4bcbcfcf8f9 |
|
VISUAL
wHash
|
02c2c6cede1e1e1f |
|
VISUAL
colorHash
|
00000000038 |
|
VISUAL
cropResistant
|
efdbf6ecd870e080,6a60e2f280737666,7d9d9f9b9a7ef4fc,d8f0b060c0800003 |
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.