Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11EF2C632D116AD3F06AB62D1E7B8A31D23E54389CA43072542FD874D5BEBCD0EE464A9 |
|
CONTENT
ssdeep
|
384:mB6II0VIIIII9QlB9C7EIH+JTLTlejdtlZWng7nJ71gLHlpW:i6IIwIIIIIlHETLBcrldlqLy |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c7e37d1c1869c692 |
|
VISUAL
aHash
|
00e3e7fb3f3c1818 |
|
VISUAL
dHash
|
87cfcfcbf5e4f0f0 |
|
VISUAL
wHash
|
00e1e7ff7f381818 |
|
VISUAL
colorHash
|
19030000000 |
|
VISUAL
cropResistant
|
f3e3d3ee9c888c0c,0002606068400000,87cfcfcbf5e4f0f0 |
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 38 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)