Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15CA30E23416975274437C2D1306A9B3BE1A6D99FFAE70A010EDCC7F76BFACA0341A159 |
|
CONTENT
ssdeep
|
768:TPi9tCJStpR4nXF6YjOpSpFlTC6rrW8JhPEA6gJ9tSHe0yvG9y:TPStpR4nXBKpSpFl26vXDPLSHe5ky |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9340ec3fead097b0 |
|
VISUAL
aHash
|
ff000e0e0e0e0eff |
|
VISUAL
dHash
|
23d8dc585c5c58a3 |
|
VISUAL
wHash
|
ff080e0e0e0e0eff |
|
VISUAL
colorHash
|
03000038000 |
|
VISUAL
cropResistant
|
23d8dc585c5c58a3,0042401100002606,81630d0923074705,7d7f7f67735f6e1d |
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 113 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)