Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D561F0205144AC3B45C7A2988FF5DA592785C372CB13170912ECC75FADD7E85CE3A98A |
|
CONTENT
ssdeep
|
48:RJoPDCSEGquo/vGjnYQZV1wpuM6m1ebMbqbEbOb0bibcbdcDUH9Ab0GAkxo9orVM:PUuSM0YcTwpu5w6DCjGAkxworVClYK |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d4e83dc12df14a5a |
|
VISUAL
aHash
|
ffffffffff200000 |
|
VISUAL
dHash
|
26c4d5e6f0e88874 |
|
VISUAL
wHash
|
fffffdff08000000 |
|
VISUAL
colorHash
|
07006000000 |
|
VISUAL
cropResistant
|
26c6d5e6f0e8c85c,c8e8c88c1478f426 |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)