Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19CE24D3650459E3F2187C2CBBBB17A1EE6E6E649DA531A45A7E8C30D0BC3E91CD31C61 |
|
CONTENT
ssdeep
|
384:yalumVrKSheO+ISjecm9FcNNVO6FUB94ulWSWGcm3b352z/IdqFq:ya0ml+IbiW6aHrlW1m3b3525Fq |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
80227fc9d3f43497 |
|
VISUAL
aHash
|
0101072f7f5fffff |
|
VISUAL
dHash
|
e3c3cfddd9b3320c |
|
VISUAL
wHash
|
000107073f1fdfef |
|
VISUAL
colorHash
|
07000c00000 |
|
VISUAL
cropResistant
|
c3c7ceddf8b33208,0008046870702004,ffffffffffff7bf1,0011051d3337333a |
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.
Pages with identical visual appearance (based on perceptual hash)