Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EEE29231B1007A3B418793CAB762F72AA3F78349D656090592FD83BD0BA3D54DE3395A |
|
CONTENT
ssdeep
|
768:8S5y5NsSOG4NodSnMWQzfvtGCRF3MmbWhmR/17sOy2+y9BH4c1Ie:wOGPLQmbWhc17sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9269ec12cd6d92e9 |
|
VISUAL
aHash
|
000000000004ffff |
|
VISUAL
dHash
|
19091b43c90c3300 |
|
VISUAL
wHash
|
80e5e301040effff |
|
VISUAL
colorHash
|
39400038000 |
|
VISUAL
cropResistant
|
fefeffdfcffffefe,0080800078908000,1209190b4bcd5c32 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)