Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18823EB3118C46A2F599383C963119F1BF39B8344E6B5C95EF6DD831E12CAD88C877A6C |
|
CONTENT
ssdeep
|
768:Ji7J2siLzLZ+So1k+ch18bcVrt313Iea6O/PBaYDYZ6JPLpn4b1yqtb0mEJ+t:Ji7JDiLzLZno1jcv7h3eea6O/kYu61pI |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9414ebeac9cac996 |
|
VISUAL
aHash
|
fd06060606fffffb |
|
VISUAL
dHash
|
21ececcccc3c3833 |
|
VISUAL
wHash
|
fd0606060606fffb |
|
VISUAL
colorHash
|
0e0000001c0 |
|
VISUAL
cropResistant
|
00210921218901a2,96d6e8b294710f8e,c4383c2f3c331313,ecececccccecccec |
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 174 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)