Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E5734231B510E926019FE5C5A176176A63A6C30ACB1303DAFAF4C3B55BDFC6ECA23644 |
|
CONTENT
ssdeep
|
1536:qWnnBiRZq8pL+rfh7lWxrkhYlPwrfheyKwD7eLL3iyvA3/1UtzsIx77ZF:d3ByxLLiy4dUJ37P |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9c847710fe88fe26 |
|
VISUAL
aHash
|
0e0f1f1f1f1f0e81 |
|
VISUAL
dHash
|
fcfef0f2f4f8f83d |
|
VISUAL
wHash
|
0e0f1f1f1f1f0e81 |
|
VISUAL
colorHash
|
10006000080 |
|
VISUAL
cropResistant
|
3212eb731ace2566,5291956a4c69d5d5,97979781a34e4ea1,fcfef0f2f4f8f83d |
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 82 techniques to evade detection by security scanners and make reverse engineering more difficult.