Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12E736171A084AB3B40DB96D69272576673F9834AC7270789F6F9C7EA0FDBC18D923104 |
|
CONTENT
ssdeep
|
1536:7ssxBsXc2U1dQaRRkrBvpdFjvg+CMd79F:7QYRgBvpdFjvfd7T |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a502d75c95e365d2 |
|
VISUAL
aHash
|
0f0703030303ffff |
|
VISUAL
dHash
|
feffffffffb72a2a |
|
VISUAL
wHash
|
0f0703030703ffff |
|
VISUAL
colorHash
|
07007000080 |
|
VISUAL
cropResistant
|
fefeffffffffffb7,0002d12223aaaa42,f7ffffffffffffd9,0000010101010000 |
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 87 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)