Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18EF2C771A100663F02D7D3CAF361B72EA3D3928ADB46050682F9536D4FE3E90DD2751A |
|
CONTENT
ssdeep
|
768:o2y5NgquUHk0+BIErkf/uCx7sOy2+y9BH4crIe:yuUHf+3cPx7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc5cc3329c293c6d |
|
VISUAL
aHash
|
9e7c838f8f87ffff |
|
VISUAL
dHash
|
30f03634343c8bf0 |
|
VISUAL
wHash
|
181c828f8f87c3fe |
|
VISUAL
colorHash
|
07007000000 |
|
VISUAL
cropResistant
|
30f03634343c8bf0 |
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.