Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17F234AB26332B47843DB91EEB7382D56B2D2589DB8C74414F5C95ACE23C3C816297BB4 |
|
CONTENT
ssdeep
|
768:ai+EsZx8/G8Z44DawbMLBvow+MLBvkwZUcix+y9dQpUDF1E56ITmHDLBABW8KPqf:ai+EsZ/8a4DawbMLBww+MLBMwZUXx+y6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf3f2f3f90c0c0c0 |
|
VISUAL
aHash
|
0000ffffffffffff |
|
VISUAL
dHash
|
7f7f1d3f35002000 |
|
VISUAL
wHash
|
000001019dffffff |
|
VISUAL
colorHash
|
06000000c40 |
|
VISUAL
cropResistant
|
7f7f1d3f35002000,fffff7f3fffbffff |
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 19 techniques to evade detection by security scanners and make reverse engineering more difficult.