Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T186D2C9327100663F51E7C2C9B363A32EE6A38349E7460815D1FD93AD4BD3D64CE6752A |
|
CONTENT
ssdeep
|
768:oScy5NZwj5SKsNZ8AaT7sOy2+y9BH4cLIe:kjoKsNZjaT7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363bc1a9c28d3e3 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
14cccac2c8cde300 |
|
VISUAL
wHash
|
00ffe0303004ffff |
|
VISUAL
colorHash
|
31000400030 |
|
VISUAL
cropResistant
|
008080024c888000,948ccec2c0c8cde3 |
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.