Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18D517412A188B11E0663649FF8538706E872E20FE2308C64F5FCA98A1FFED49DD1740B |
|
CONTENT
ssdeep
|
48:T3lDY5r1MSz44s7sq5yPmYhbZaIVAhs6103uW1apAVPB6mTJ+IIDZqdy5SaGgEJ:TVDKr1bz44s7sSyPmYZZaBhs610e6a4B |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
898db2f2f2e3c1c8 |
|
VISUAL
aHash
|
ff1818ff00000000 |
|
VISUAL
dHash
|
68f2725234323331 |
|
VISUAL
wHash
|
ff3838ff18181801 |
|
VISUAL
colorHash
|
01000000180 |
|
VISUAL
cropResistant
|
000c0c0008080870,9696aaa2ccaa8eaa,1eca8a9a3a327c9c,6004300c0c300400,7272b2b27272d2f2,103230323232310d |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)