Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T111D29531B210273F81A783CDBB51F35EA6E34249EA46094553FC875D5BE7E90EE2312A |
|
CONTENT
ssdeep
|
768:2Szy5NNWwdft9rs9u1ZaKKWecX17sOy2+y9BH4c1Ie:EZdYbKKx27sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c343d53a9038bdbc |
|
VISUAL
aHash
|
002000000000ffff |
|
VISUAL
dHash
|
d0c3c3c8cd498b00 |
|
VISUAL
wHash
|
68fb70002401ffff |
|
VISUAL
colorHash
|
31000000c00 |
|
VISUAL
cropResistant
|
0080a00458988000,d8c3c3d2c8cdc90b |
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.