Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1706386712286AE7F108342D08358F35AD7C2D609E7AB8946EBE8431F27C7DA5FD39164 |
|
CONTENT
ssdeep
|
1536:MpsRkcmP0Dcir0J6e8sM3a0Fi3gSj01Sx8RQ8mQ:IiRFHl |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e841a2bc376cb6b1 |
|
VISUAL
aHash
|
00000000ffffffff |
|
VISUAL
dHash
|
86d383131c37270c |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
06010000e00 |
|
VISUAL
cropResistant
|
9154569b922b2b44,38789d9c8c8c8d8f,4a52b1b5e3c96d29,82a28a969696a882,c53a382327400f0c,968fe3d3832b3397 |
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)