Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19BD2B872A110573F0267C3C9B361BB5E92E7834DDA45081A53FC979E0BE7E40DD23A6A |
|
CONTENT
ssdeep
|
768:RSXy5NbybPQ37U1YtFVC6/CoyALV7sOy2+y9BH4cLIe:abPQ37U1KHCoLV7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
976bfd16d0698492 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
1c49c3e3cc4cb600 |
|
VISUAL
wHash
|
80f561300c06ffff |
|
VISUAL
colorHash
|
31000200030 |
|
VISUAL
cropResistant
|
008080084c808000,1c4dc3c3c3cccc36 |
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.