Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T151235BB26322B4A843DB91EEB7383D56B2D1489DF8C74550F5C95ACD23C3C906297BB4 |
|
CONTENT
ssdeep
|
768:aeuWq+EsZx8/G8441Daw2M7BxwBM7B4r82+/9dtZkDieE565TmHEnkvdhfVPqDvA:ax+EsZ/8r1Daw2M7BxwBM7BE82+/9dt1 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
fa6a6a9595958463 |
|
VISUAL
aHash
|
800081ffffffffff |
|
VISUAL
dHash
|
117141341f313f69 |
|
VISUAL
wHash
|
000000dfcfdf87ff |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
117141341f313f69,0000321068601000 |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.