Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18AE2D83292142A3F5193C3C9B7A2F32EA2E34249DB47490953F9439E1BF7E90DD13666 |
|
CONTENT
ssdeep
|
384:nLy5NxKF2XkcAeBslqZcCFV+hWAArvhWWJiPNmeS2/IYsOy2+y9BH4ciUIe:nLy5NxKpTwe57sOy2+y9BH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c36dbc38e912cd98 |
|
VISUAL
aHash
|
000020200000ffff |
|
VISUAL
dHash
|
1447c9c9c868cc00 |
|
VISUAL
wHash
|
00e17d60202cffff |
|
VISUAL
colorHash
|
39c00008200 |
|
VISUAL
cropResistant
|
0200304d4d300800,4880800458988000,1c47cdc9c9e8c8cc |
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.