Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18B92C0345480653B444BA7D1A6756F5E76C3D3C2CA271A0912F88FAEBFEEE04CC2B561 |
|
CONTENT
ssdeep
|
384:Y0F10GYASC44Mq1cYGW5u/Yr+Hb1ZSF0kmInD1ccBkb/HuwnLuI7RFxIlSdmNvEr:Jh44KRQSd/PjV |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8c39b3a6b919cc33 |
|
VISUAL
aHash
|
000000183affffff |
|
VISUAL
dHash
|
320e32b2a6e458a6 |
|
VISUAL
wHash
|
000000187effffff |
|
VISUAL
colorHash
|
18007000080 |
|
VISUAL
cropResistant
|
d080c2acaca280c0,2200000000a20000,320e32b2a6e458a6 |
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 5 techniques to evade detection by security scanners and make reverse engineering more difficult.