Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19FF13FF0D050ED3747638AD9A7B66B1B72E1C349CF031944A7F893AB5BCACA0CA11599 |
|
CONTENT
ssdeep
|
192:Q0nbzD715lt8iIGtGy+OF0nzbAncftrOrXrL:Qmnf1ZtGfKcfg |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3b34ce6b3198866 |
|
VISUAL
aHash
|
ffffffffffff0000 |
|
VISUAL
dHash
|
080c081008081008 |
|
VISUAL
wHash
|
e7e7efefe7000000 |
|
VISUAL
colorHash
|
07000000180 |
|
VISUAL
cropResistant
|
000c0c1008080c10,0000000000000000 |
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 60 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)