Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E2231E30A405EC3B41CB96C9A276572A62F68345C7130688FAF9D3FA4BDFD28DA37154 |
|
CONTENT
ssdeep
|
768:amluZ7qCilRHsIx/jXZrPrWP9kwC5tEUkzzWgPaf9T4hOf4MetgP9tISNUf7sTMp:PHsIxhTBySK7sTMbF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d369b422c34b90ef |
|
VISUAL
aHash
|
ff383838080000ff |
|
VISUAL
dHash
|
595250d850d850d0 |
|
VISUAL
wHash
|
fff8bc3c280000ff |
|
VISUAL
colorHash
|
16202010000 |
|
VISUAL
cropResistant
|
0000000000000000,e0f0e3c393aa9ba7,9898989998249099,50515180c0840000,507250d850d0d851 |
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 168 techniques to evade detection by security scanners and make reverse engineering more difficult.