Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F1F2883171147A3F419BD3CDB763E72BA2D28349E54A090282FD93AD5BE3D50EE2351A |
|
CONTENT
ssdeep
|
768:G5y5NpHVaBaBE+folAIVJCjLd7sOy2+y9BH4crIe:5CaBApVJC17sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc38c54d966d3d30 |
|
VISUAL
aHash
|
3b1f838fcfd1f0fe |
|
VISUAL
dHash
|
e2b63e3e3c16a698 |
|
VISUAL
wHash
|
3b0f0387c7c0d0fe |
|
VISUAL
colorHash
|
070030000c0 |
|
VISUAL
cropResistant
|
e2b63e3e3c16a698 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.