Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18F5174B79004CD1B1AA2C9A4EDD5F30D9A438599C68E0EC682ECD7AF39C4EB4C4523DC |
|
CONTENT
ssdeep
|
48:nHRCv7lyRIcCxQuRcC7fhduvx9tC4QRqC2Ajct7yr:HRuw/Fmh+tuRTxjH |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a222225d5d5d5577 |
|
VISUAL
aHash
|
0000e7ffffffffff |
|
VISUAL
dHash
|
904d0c0008000000 |
|
VISUAL
wHash
|
000000fff0f0f0f0 |
|
VISUAL
colorHash
|
07007000000 |
|
VISUAL
cropResistant
|
910d0c0000000000,0000000000000000,0000000000000000 |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.