Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T108E29431B1007A3B01D782CDB762B72EA2A78349DB46095192FD93AD4BE3D54CE7361A |
|
CONTENT
ssdeep
|
768:OS5y5Ngy11f4Y0eBY6Abk+AlS87sOy2+y9BH4crIe:u1VBYWo87sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9269ec12cd6d92e9 |
|
VISUAL
aHash
|
000000000004ffff |
|
VISUAL
dHash
|
0d094b63c90cb300 |
|
VISUAL
wHash
|
80e5e301040effff |
|
VISUAL
colorHash
|
39400038000 |
|
VISUAL
cropResistant
|
fefeffdfdffffffe,0080800078908000,0d09496b4bcd1c30 |
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)