Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A893F9B163816A3F1043C3F1D724A53BA385D94AD7338EC6E3E8D32759C9CE89D644A6 |
|
CONTENT
ssdeep
|
768:zq0E5Gk0kCJk8xSErQGT5uOsMUyG5Dy0E5Gk0kCJk8xSErQGT5uOsMUyG5Dq+v0m:c+v0Ig20T4uUbKCOX7l0kOh |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc3ce7c3f0189698 |
|
VISUAL
aHash
|
ef839f9fdfffffff |
|
VISUAL
dHash
|
cb2e3531b175304d |
|
VISUAL
wHash
|
81831c1c5c1cffe7 |
|
VISUAL
colorHash
|
07180000200 |
|
VISUAL
cropResistant
|
cb2e3531b175304d,5a9989cbcd4d45e5 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)