Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T164C28331E104263B1197A3C9B361F71AA2A3928DE74A090553F9D35E4BE7FA0DE2351F |
|
CONTENT
ssdeep
|
384:2e/y5N4tQ2v1WPMqHB4Q7P09hTQov47c0vWhMIYsOy2+y9BH4cCUIe:2e/y5N4tzwP09hTiJ7sOy2+y9BH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c367fc3a912cc583 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
144cc4cacccdd300 |
|
VISUAL
wHash
|
c0e6fa200420ffff |
|
VISUAL
colorHash
|
39e00010000 |
|
VISUAL
cropResistant
|
0080800458988000,940cccc6c8cccde3 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.