Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19BE271724204793F615342E6D7367B2A23E283C1CB866604A6FC87799FD6D59DC3B1E0 |
|
CONTENT
ssdeep
|
768:99svY5II+44ESUCbdEmQVvzajxbuL5zEZa8xxbZ:4H44EkbdEzvrL5ozxd |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ec92936c685a6e93 |
|
VISUAL
aHash
|
ff7fffd1f191f9ff |
|
VISUAL
dHash
|
e9f8332323233380 |
|
VISUAL
wHash
|
3d3f0b919190f8f8 |
|
VISUAL
colorHash
|
07006000080 |
|
VISUAL
cropResistant
|
e9f8332323233380,79f4f2e2f292e873 |
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 19 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)