Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14FB3D17562945D3250B2A3D1DBA79F8B9321CB40CE521D4402BC86AABEFFFE4DD6016C |
|
CONTENT
ssdeep
|
3072:9XzswG/HB3aKtQa3fl0i7ZK35VtV1fCOCUmMv8:hspv5xfl0eK35VtzvC/ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cbc33c72762c5728 |
|
VISUAL
aHash
|
383c3c3c3c3c0101 |
|
VISUAL
dHash
|
c9c9e9e1c9c9b36b |
|
VISUAL
wHash
|
3c7c7c7c7c7c0301 |
|
VISUAL
colorHash
|
07000018180 |
|
VISUAL
cropResistant
|
938b96c683519b92,e81696c69c2a32b2,c9c9e9e1c9c9b36b,ad52929258072828,397092081a1a1a0a |
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 19 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)