Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T180126273B600DC2A8D9B568CF2C08589451DD395FB3188CAB2A490FF7BC4DF065A97AD |
|
CONTENT
ssdeep
|
192:pGN6dJIkbVxwsMcnthWeNWbnfMmUU8VCoIh:dJIVTfMmUFCo4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f332dc6461986367 |
|
VISUAL
aHash
|
c3e7e7ffc3e3ffff |
|
VISUAL
dHash
|
96694d594e4c6104 |
|
VISUAL
wHash
|
003424040327ffff |
|
VISUAL
colorHash
|
07000030000 |
|
VISUAL
cropResistant
|
96694d594e4c6104,40120cb2b2300800 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.