Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10DB4E7B469A155B69063D3D8F2263D3DB063E36DC702C108ABB926412FE7CF57C6A4E4 |
|
CONTENT
ssdeep
|
1536:3rbs5alhPalhenDTDiPML5wprielvjlW1pEozgo1BVAxNMBVAxNsBVAxN1BVAxN8:bIghKhenDTDVgvjl4uogoy67/5uP |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93616cc639d39ae4 |
|
VISUAL
aHash
|
00183c3c3c3c3c00 |
|
VISUAL
dHash
|
177079597971793e |
|
VISUAL
wHash
|
003c7e3e3e7e7e00 |
|
VISUAL
colorHash
|
07030000400 |
|
VISUAL
cropResistant
|
e25a1a1a9c7a30b0,177079597971793e |
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 2073 techniques to evade detection by security scanners and make reverse engineering more difficult.