Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11C02E9D3E00454062E19CA406791FF8C913E8A47CB6D687BB5F4656BBEED9F092327E0 |
|
CONTENT
ssdeep
|
192:8tft5t5SiSphFIc4Vyn6n6MRp5Rl5dPVII:8tft5t5SiSpgdyniRrRLdtr |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a74d64735932da13 |
|
VISUAL
aHash
|
0002ffffefe7e7ff |
|
VISUAL
dHash
|
0286265848cccece |
|
VISUAL
wHash
|
000003efe7e767e7 |
|
VISUAL
colorHash
|
060020001c0 |
|
VISUAL
cropResistant
|
8606295a4dcecece,4049c2128206a6a6 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)