Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18CA3FA714151993702A7C2D85776670FBBC3830ACEA38B056BF89B9D9FD3C48CD25A62 |
|
CONTENT
ssdeep
|
1536:fIByIOXX2XBxyLk+j+F1rvwx16feeeceeezeeePeeeuUJUuU3UEUuFWW1y:fIByILxyo+j+F1rvwx16EeHktuFWwy |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a2f6bdadc32c222a |
|
VISUAL
aHash
|
ffff05252d0f0f2f |
|
VISUAL
dHash
|
37adcdc9d9dfbfd9 |
|
VISUAL
wHash
|
ff7f0101090f0f2f |
|
VISUAL
colorHash
|
1bc00000080 |
|
VISUAL
cropResistant
|
802f57274798d8ac,98d8fce033b6b5a1,8bbbf96dfddd9991,9280d02b2fc480a2,161657362636d616,accdcdc9dbffffd9 |
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 11 techniques to evade detection by security scanners and make reverse engineering more difficult.