Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AD53EAD6385570260B7340D354BF2B8AB339182FF91D45A0A1B4CBE572F88A5316BF9B |
|
CONTENT
ssdeep
|
768:zyWuD5Pu/tWcGsyWH/uM9XMbC1SfLvML8n+/TNw16ZsX8U9uo3krAd0vRIKBbTEw:tckPKyOloQzZs8oWQbp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e46ccd939b9a3231 |
|
VISUAL
aHash
|
c3d3c3d7c7c7e7e7 |
|
VISUAL
dHash
|
161696261e0c0e1c |
|
VISUAL
wHash
|
c3c3c3c3c3c3c3c6 |
|
VISUAL
colorHash
|
07000000c00 |
|
VISUAL
cropResistant
|
161696261e0c0e1c,6b0783f46f370fcc |
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 699 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)