Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FA7364765242AA3F208346D19B1CD35AE382D609C7A7994FD7E8836B3BC6DA0DD350F4 |
|
CONTENT
ssdeep
|
1536:PCiNVYFDcoO0h4vwK1Jyf0UCGzF/hE0jxVuz8IO:cTk0Z/l+O |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d2516c36969eb664 |
|
VISUAL
aHash
|
00003c7e7effd1ff |
|
VISUAL
dHash
|
9493d0d0cccc3387 |
|
VISUAL
wHash
|
00003c7e7eff91e3 |
|
VISUAL
colorHash
|
06010000e00 |
|
VISUAL
cropResistant
|
d0c8d4cccc33271c,8c93d3d3ccc8d4d4,4561417971690141,b435554a2dadcdc4,00454d71714d4582 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)