Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E3E2D63CE205A83F45A7B2D1AA25B35A62818ECEDC43173942FDC71C5FEAD94EC065B4 |
|
CONTENT
ssdeep
|
384:HS9SFqIIQtyLIIIII9ClB+LhLlABuZvMw2WW/3zHlZhj69tlaRpW:oIIQtyIIIIIdlDZv3VW/3zHlZytEe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8ee3713c94197933 |
|
VISUAL
aHash
|
00e3ffff3f181838 |
|
VISUAL
dHash
|
97cfcbf5ed73f0e0 |
|
VISUAL
wHash
|
00e1efff3f181838 |
|
VISUAL
colorHash
|
19038000000 |
|
VISUAL
cropResistant
|
f3e3d3c2cd988c8c,000030323a380400,97cfcbf5ed73f0e0 |
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 37 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)