Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D9D27572E184273F42A792C8B7216B1EB2D3438DEB96591193F8479E1BD7E10DD1342B |
|
CONTENT
ssdeep
|
768:Me/GL5q4FoMnvlO0TT7R87sOy2+y9BH4crIe:YBn9RT27sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d372dc3a8469e1e1 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
9c0cc8c9cdcda300 |
|
VISUAL
wHash
|
80c4e0202f07ffff |
|
VISUAL
colorHash
|
39000c000c0 |
|
VISUAL
cropResistant
|
0080800458988000,9c2c4848c9cdcd23 |
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.