Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F272652490D1BDBB16B362D25734939FA0C1B781E8F74929D2FE8ADD07D4E05AC13687 |
|
CONTENT
ssdeep
|
384:gm0FRyW84ZbzTKXdr28NKpMjy8sZGIlfUfI2fESf6/UzGVdpMF3rHcEmWu6+WWVe:v0F33KTTv0Wr7fyq1t |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93566c5992b6691d |
|
VISUAL
aHash
|
00002e6e7e580101 |
|
VISUAL
dHash
|
d42bdcccd0d06b83 |
|
VISUAL
wHash
|
020c7e7e7e7c6161 |
|
VISUAL
colorHash
|
30000008280 |
|
VISUAL
cropResistant
|
2f3bcbcec2e46466,0dccc8e001060e0f,d42bdcccd0d06b83 |
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 21 techniques to evade detection by security scanners and make reverse engineering more difficult.