Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15FD2A772F140633741D3C1D5A262BB4AF3839905CA17DD63FBF58B96CBE6E42AD02909 |
|
CONTENT
ssdeep
|
768:yyaenKJb444C6F9BCODjlt16x1hi+cf+y9+DHhT6:yNenKJb444C6F9BCun0x1hi+g+E+r56 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
99e6b1c9e699a489 |
|
VISUAL
aHash
|
ff00000018081c00 |
|
VISUAL
dHash
|
234c313171323232 |
|
VISUAL
wHash
|
ff0000d9fc783f07 |
|
VISUAL
colorHash
|
07006001000 |
|
VISUAL
cropResistant
|
0002002323300020,a480a096968086a0,0020542727580200,000433617132323a |
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.
Pages with identical visual appearance (based on perceptual hash)