Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T113F131736108486F23029381E2E1F75BE983D909CE214D55E2EA0BCEE9D8FA5F13364D |
|
CONTENT
ssdeep
|
96:58rAO1rAeX8UA7fDO0LJMiwu2UthudUty6u5UtP4u1Ut0WOmt0c1PX:58rXrVXnALDO0LJMi5l0g9Oylq1f |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
98587067a7d2c9d9 |
|
VISUAL
aHash
|
18181c1c1e183cff |
|
VISUAL
dHash
|
b0b0f1f0f270d4d0 |
|
VISUAL
wHash
|
181c1c3c3e183eff |
|
VISUAL
colorHash
|
30201200010 |
|
VISUAL
cropResistant
|
b0b0f1f0f270d4d0 |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.