Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FAF164A1E054DD320B5281C6B7B67B6FB9F1C255CF020A9412F843AE5BCFD61CB2299D |
|
CONTENT
ssdeep
|
96:nkotzYtqOSTJ/bN8v67M4d7nq2aFjSXUHFeeXXX/JgST5+AT431:kotzYtkp58iIi7n2tXjP8F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
831f031f83bf81f8 |
|
VISUAL
aHash
|
0000ffffffffff7f |
|
VISUAL
dHash
|
50800060608000d0 |
|
VISUAL
wHash
|
00009f9f00ff8f0f |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
0050505050504080,2020604000c000d0,0000000000000000 |
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 115 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)