Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11F23DF7301C699FF04E3A3D05271072AA2A673A1FA5B424787F44B4F5E87FA6CD25836 |
|
CONTENT
ssdeep
|
384:BXEcNBXELiy/Y+nPacLYreNBXELiy/Y+nPacLRgo:B0KZELk+CuYrwZELk+CuRgo |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d09569787c97c594 |
|
VISUAL
aHash
|
00007e3c00000000 |
|
VISUAL
dHash
|
31f0d4d4d4d4d4d4 |
|
VISUAL
wHash
|
08107e007e7e7e7e |
|
VISUAL
colorHash
|
380000001c0 |
|
VISUAL
cropResistant
|
3139eb9400808080,31f0d4d4d4d4d4d4 |
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.