Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1240330227C06281F700F43DF92EBB55F9490DECADA306AD1E8F0D7A9D574E61B6B2148 |
|
CONTENT
ssdeep
|
384:KT0rc05bDW4euQ/HvvTaL1s8WaNGjDXDPiePyArAxd9nOnRfhRItBRCSP9JsEz/p:KEcobNVxl7 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
844c5e6f27b1991b |
|
VISUAL
aHash
|
00705f67203c3c7e |
|
VISUAL
dHash
|
a6a1b986c7f048c4 |
|
VISUAL
wHash
|
00745f67207c3e7e |
|
VISUAL
colorHash
|
09000007000 |
|
VISUAL
cropResistant
|
3430b24b3ab3a945,46674e8cb6deee6c,71752cb6a4447476,18b8e8d8dac53d3b,6d59a4a696955646,a5267c16d2d62525,a6a1b986c7f048c4 |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.