Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T179E2523690449A3F12D782C6B7B47B1EE3DAE249C663165A67F8831D07C7ED0CD32962 |
|
CONTENT
ssdeep
|
384:2AaumVMN/gfO+ISmfcoATc1OmOgtWSplzbKX/gyxWPJgoap9Uyx/f6q1q:2APmU+Is2OitWSPzbQyPapaK1q |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
80227fc9d3f43497 |
|
VISUAL
aHash
|
0101072f7f5fffff |
|
VISUAL
dHash
|
e3c7cfddd9b33208 |
|
VISUAL
wHash
|
000107073f1fdfef |
|
VISUAL
colorHash
|
07000c00000 |
|
VISUAL
cropResistant
|
c3c7ceddf8b33208,0008046870702004,ffffffffffff7bf1,0011051d3333333a |
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 14 techniques to evade detection by security scanners and make reverse engineering more difficult.