Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14AF15462D094D9370F6181C1FB753F6FBAA1C54BCB420D6463E843AA9BC7DB0CA12598 |
|
CONTENT
ssdeep
|
192:omHtQ57gz8hhpY/QwdYM7jOYM7xCOYM7x8U8F:omNQ5iKpY4weMfnMcnMlN8F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a1d7887d82f621dc |
|
VISUAL
aHash
|
fff7c3e7c3c3c343 |
|
VISUAL
dHash
|
2a0e0e0e96961696 |
|
VISUAL
wHash
|
e7c3c3c3c3c3c303 |
|
VISUAL
colorHash
|
060000000c0 |
|
VISUAL
cropResistant
|
2a0e0e0e96961696,b361218319298999,5d6a95d4dcd80ff0,318cb4d2d4d813f0 |
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 30 techniques to evade detection by security scanners and make reverse engineering more difficult.