Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FA23C83258D6AE7FA24393D863246A1BE756820DC3B32F1DF4D9C2575E81DF0C84EA58 |
|
CONTENT
ssdeep
|
768:tdmBgHHwgjuf6RyeHmWL1XsnMRy87xFZtP7LOuhtx/+Cn7wSAf82+dyeXfc7AJGu:tdmeHzuf65HL1D1vtHZtx/+yRAf8bc7U |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9414ebcacbbac896 |
|
VISUAL
aHash
|
fd060606060efff9 |
|
VISUAL
dHash
|
71ccecccecfc3b23 |
|
VISUAL
wHash
|
ff0606060606fff9 |
|
VISUAL
colorHash
|
0e0000001c0 |
|
VISUAL
cropResistant
|
0021816969410152,96c6e8c496690d8e,c0383b2c2b337313,ccccecccccececec,048c8ac6c666f7f6 |
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 174 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)