Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T134933BA03A59F5666AB34393109F1503B334552F540E4D60A351FCEEB2BCCABA067FDA |
|
CONTENT
ssdeep
|
1536:SipkXFfbsQmlo2h2wV9LHd8tVPTMn57Bdluq++iX8z:hkXjUMAL98n0dH++v |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d272d8dc5ad458d8 |
|
VISUAL
aHash
|
fc0600243c7cfff0 |
|
VISUAL
dHash
|
f0cccccce8e08488 |
|
VISUAL
wHash
|
fc0604247c7cffe0 |
|
VISUAL
colorHash
|
07000000180 |
|
VISUAL
cropResistant
|
f0cccccce8e08488 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)