Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1097342B212426A3F218342E1D368F76AE392DA09C7A34D4A97F8431F67C7DE0DD351A4 |
|
CONTENT
ssdeep
|
1536:ggaRJ6ZDcxw0A4nvsG4y50JcGfNdpw0+l:sBQfldB+l |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e840a69e367eb692 |
|
VISUAL
aHash
|
00000000ffffffff |
|
VISUAL
dHash
|
8cd383339433231c |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
06010000e00 |
|
VISUAL
cropResistant
|
21da98d9d1d9989a,2625c55411d1c9c9,38789d9c8c8c8d8f,b032739595494b43,82a28ecccc8ca282,05023827272c0786,84cbe3d38b2b1393 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)