Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T186E28331A0506A3B41D7C3D9B731BB2FA2D3938ADA4705058AF8831D0FE7E51DE2795A |
|
CONTENT
ssdeep
|
768:IXy5NgdtLRoZZgUsE37sOy2+y9BH4cLIe:M0km7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b838c5c6c7ae3c38 |
|
VISUAL
aHash
|
3e0c828fcfc7fbfe |
|
VISUAL
dHash
|
e0b8363c1d1ea7d0 |
|
VISUAL
wHash
|
180c828787c7f3fe |
|
VISUAL
colorHash
|
070020001c0 |
|
VISUAL
cropResistant
|
e0b8363c1d1ea7d0 |
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.