Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C5D2BA3171106A3B82DBD2DCB362F71FA6A3C349D64A091591F993AE0BD3D54CE3351A |
|
CONTENT
ssdeep
|
768:nScy5NOsmd8Aa089/yRk7sOy2+y9BH4c1Ie:amKNyRk7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363bc1adc29c3c3 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
948ccac2c8cdc300 |
|
VISUAL
wHash
|
00e7f2700014ffff |
|
VISUAL
colorHash
|
31000400030 |
|
VISUAL
cropResistant
|
008080024c888000,940ccecac0c8cdc3 |
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)