Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13CF1EEF0D054ED3B435385D9A7B6AB0B77A1C389CF031A4553F483ABAFCACA0CA11599 |
|
CONTENT
ssdeep
|
96:Tk39nfzD71tkz3t8v67MydtG4SS8ctkjR1wvFHeRXAHF2evpXr2z/mGYfdzR:Q39nfzD71U3t8iIotGm+j5+Xvd2zLcd9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3b34ce6b3198866 |
|
VISUAL
aHash
|
ffffffffffff0000 |
|
VISUAL
dHash
|
0808084a08080000 |
|
VISUAL
wHash
|
ffe7e7e7e7000000 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
00080808080c0810,0000000000000000 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)