Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12AD2A73271006B3B42D792DEF362B31EA2A39249DA460955D2F983ED4BD3DA4CE33516 |
|
CONTENT
ssdeep
|
768:7Scy5NNMvvbzI+8qiEyArDJH7sOy2+y9BH4crIe:5vvHDH7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c361b53ab528d6c9 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
1cc4c6cac8cdf300 |
|
VISUAL
wHash
|
00fff1202004ffff |
|
VISUAL
colorHash
|
31000400030 |
|
VISUAL
cropResistant
|
008080024c888000,9c8cc6e2c8c8cdd3 |
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.