Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EC1222E1C455E93707A2C6D8B7BD7B0B7391C685CE030A45A3F883AEDBDAC60DA1158D |
|
CONTENT
ssdeep
|
192:QFnPD71it8iTdwlwv92by7xFSKVNy6c1byfkTgd9:QNne1TKlw08vSKzy1gxd9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ecb0139864c76ee6 |
|
VISUAL
aHash
|
ffdff3f3f3ffff00 |
|
VISUAL
dHash
|
04980626a6b60002 |
|
VISUAL
wHash
|
e7cfc3c3c0c0c300 |
|
VISUAL
colorHash
|
07000000059 |
|
VISUAL
cropResistant
|
0490162626a63050,0000000000000000 |
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 59 techniques to evade detection by security scanners and make reverse engineering more difficult.