Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T107F145E1D514EE37471296C5EBB16F1BB692C349CF031840D3F8836BABCAD60CA2258D |
|
CONTENT
ssdeep
|
192:Q40z8B0xj9EdYMAVGy/EkyhHhPUz4W5Wb:QVPjqeMAVGm7yhz6Wb |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bcc33c82673ac13e |
|
VISUAL
aHash
|
ffffffffffff8181 |
|
VISUAL
dHash
|
1722080c0c1f2f0f |
|
VISUAL
wHash
|
009be7e7e7c78181 |
|
VISUAL
colorHash
|
07000e00000 |
|
VISUAL
cropResistant
|
1722080c0c1f2f0f,76968fa694a6aa42 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.