Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T168E2B832A1406B3F016396C6B292A75E63E2834ED74A182152FD472C4BE3E40EE2775F |
|
CONTENT
ssdeep
|
768:GQeBt+RBlSgCor84mNkkaeVL7sOy2+y9BH4c1Ie:Gt+4hik7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c240f932bd6d96c9 |
|
VISUAL
aHash
|
000030000000ffff |
|
VISUAL
dHash
|
d8ccc4e0cc0cc300 |
|
VISUAL
wHash
|
00647870340effff |
|
VISUAL
colorHash
|
31000038000 |
|
VISUAL
cropResistant
|
04324c4d4c4c3204,0080800058988000,d8ccc4e4c8ccacc3 |
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.