Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16E126323E600DD2A8D9B46C8F6C09589461DC345FB3148C7B16092FF3BD5EF06AA979E |
|
CONTENT
ssdeep
|
192:qbAdAli4hx6Mgx9fMcnthWeNWb4fMmUU8VCoD8:qbUAlYzfMmUFCoY |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
96126d2c7c6d4d47 |
|
VISUAL
aHash
|
00ff7eff3c00ffff |
|
VISUAL
dHash
|
f0cccc96f4320100 |
|
VISUAL
wHash
|
007e7e42ff0001ff |
|
VISUAL
colorHash
|
06007000000 |
|
VISUAL
cropResistant
|
70f0ccccd496f0d4,0000000000010000,083032303232b234,100c3232b2320c10,100c32b232281400 |
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.