Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C88154BBF3497274372303C3AD9AB1F8F34795AEAB1241D3954181981361EE885A63CE |
|
CONTENT
ssdeep
|
96:s8zneRGyV7xfFZsV5HvnzmXQ4XRhGVisq0t:s8znyQiQ4OVi70t |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8f07b0487efcf0e0 |
|
VISUAL
aHash
|
0f2f7fa5a5f9c3cf |
|
VISUAL
dHash
|
58d8c46f49db161e |
|
VISUAL
wHash
|
0f0fffa1a121c3c3 |
|
VISUAL
colorHash
|
07000000e00 |
|
VISUAL
cropResistant
|
58d8c46f49db161e,2b552598cc064945 |
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 12 techniques to evade detection by security scanners and make reverse engineering more difficult.