Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B8131331A840EE2B02CB55C45636676E62F69719C5131689FAF8CBFA0BDFC6DD933600 |
|
CONTENT
ssdeep
|
768:jyBiWvjHAs60KheeeJeeeIeeeNeeejSAs6s6kjJJsIx/jveUf72:mBiWMX0KheeeJeeeIeeeNeeeJXXWJJsz |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bd1f604364473c1f |
|
VISUAL
aHash
|
00ff9fbfbfffe7c3 |
|
VISUAL
dHash
|
a0103a38710c0e96 |
|
VISUAL
wHash
|
008f8a809dffe7c3 |
|
VISUAL
colorHash
|
07000030000 |
|
VISUAL
cropResistant
|
c33a3239710c0e96,00028dacac8c4100,01010101010170f0 |
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 76 techniques to evade detection by security scanners and make reverse engineering more difficult.