Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D483A67852520A6B10E382A4B7E2AB7AF2CCC345D653895CB2FDC35A57C7C15CEE2360 |
|
CONTENT
ssdeep
|
768:7tlgJlgJTxt7M1U5LE53f7xxd0F7MSwwP:nq2M1U5LkflxM7zwwP |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b36699d9237388d8 |
|
VISUAL
aHash
|
e7e7e7c3e7e7e707 |
|
VISUAL
dHash
|
4c4c4d4d4c4c0ccf |
|
VISUAL
wHash
|
c7c3c3c3e7c7c300 |
|
VISUAL
colorHash
|
06000e00040 |
|
VISUAL
cropResistant
|
4c4c4d4d4c4c0ccf,fe8eb686cac6cdd9,110104cc5ada5554 |
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 324 techniques to evade detection by security scanners and make reverse engineering more difficult.