Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1513232B37D02A816322FC2CFC11B3A0DD1C5EACAD252A5E5A5F4926C16F1DF077A3658 |
|
CONTENT
ssdeep
|
192:PQa1HiOWpsKsEjpyUJY9iaM+pV85swHRfWwha2IKYJl3L5XGEkDEyS9kYr:oa1HiOWpsKsEjpyUJY9iAV85swHRflad |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3338c8c9d9d8c36 |
|
VISUAL
aHash
|
ffe7e7e7e7ffffff |
|
VISUAL
dHash
|
304d4d4d4d320c00 |
|
VISUAL
wHash
|
1c040000273f3f3f |
|
VISUAL
colorHash
|
07000e00000 |
|
VISUAL
cropResistant
|
304d4d4d4d320c00,0018269696122800,17694933f184e869 |
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 628 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)