Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1491240F1D050AD37472281C5BBB67B6B77A1C244CF020A5453F8937E5BCFDA1CA229A9 |
|
CONTENT
ssdeep
|
96:TkD49zDxLSTJEWhUSPRr8v67GhXiFtGAbH7l9iX1Hl6qXk4/AAeY8u7mSTIGAT4F:QD49zDx2dB8iqetGPi4eXu7D+8F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e4a45e8b5a89d98b |
|
VISUAL
aHash
|
ffc3c3c3ffffff00 |
|
VISUAL
dHash
|
868696968e20c220 |
|
VISUAL
wHash
|
e7c3c3c3e7ff0000 |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
9686969696680400,a2a2a2a2a2a2a200,a2a2a2a2a2a2a200,08883268e8e8f032,00000000c0202020 |
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 64 techniques to evade detection by security scanners and make reverse engineering more difficult.