Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17E0472B23D823436322F19CFA047271C61D2E3CEEA1764D0A6F892649BF5ED47BE2155 |
|
CONTENT
ssdeep
|
1536:Ul4AogWSf5KPeHb8e02hejfhexh8e8dhe4r8e6ApyVt9AGobP9nHDTEU2Elj1s6n:O4+H0HDTEU2EljKIB |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ac3baca929adb924 |
|
VISUAL
aHash
|
0000000000ffffff |
|
VISUAL
dHash
|
07000300001804c7 |
|
VISUAL
wHash
|
e700810000ffffff |
|
VISUAL
colorHash
|
3a000038000 |
|
VISUAL
cropResistant
|
0002021bc7c7db03,0f00000101000000 |
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 34 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)