Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C2A2953099C67A3726B313C19743877FE6C8C245D11B8AC6D6F88B6E5BC6D80EF26215 |
|
CONTENT
ssdeep
|
384:uYJrX7mSRVeFiSOcDUlDK8+qlpjW/+tUTaeL19F7jRXFkhKw:7nY+cg4qW+t/w9R1kAw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d970647033746cf3 |
|
VISUAL
aHash
|
007efdbdbdbdff00 |
|
VISUAL
dHash
|
86e0303a6a33d4f0 |
|
VISUAL
wHash
|
007e3c3c3c3c7f00 |
|
VISUAL
colorHash
|
00030000000 |
|
VISUAL
cropResistant
|
c0f0326a6a33f0d4,828196e486a68140,ceda991a1b0b9971,00214cb2b2300c01 |
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 16 techniques to evade detection by security scanners and make reverse engineering more difficult.