Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19ED2A7E2BF12756D23EB83CFC11B691D22C1E6CEC6811A91D5F443F095F6EA0FAA1194 |
|
CONTENT
ssdeep
|
384:bBFCF9FKZ/Z01VqjLNjG+eiKCd78FWStJ1mIU06cn295/8HM2/QCD:bBFCF9FKbVsiX78F1tJ1Kcn2X4QCD |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c6e73931634dc398 |
|
VISUAL
aHash
|
203c3e3c003c1838 |
|
VISUAL
dHash
|
c4e4e4e8e8f030f0 |
|
VISUAL
wHash
|
243e7e3e3c3c183c |
|
VISUAL
colorHash
|
30000000c00 |
|
VISUAL
cropResistant
|
c4e4e4e8e8f030f0 |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.