Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BB832AA43A59F5665AF3439310AF1403B378562F540E4C206354FCAE76BCC9BA0A7FDA |
|
CONTENT
ssdeep
|
1536:cfKXFfbsQmlo2h2wV9LHd8tVPTMn57BAPuW8Fuz8k:sKXjUMAL98n0AV8Fg |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b366cc333299cc66 |
|
VISUAL
aHash
|
ffe7e7e7e7efefff |
|
VISUAL
dHash
|
114c48484c1a4808 |
|
VISUAL
wHash
|
000000eee7e7e7ff |
|
VISUAL
colorHash
|
07000030000 |
|
VISUAL
cropResistant
|
114c48484c1a4808 |
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 12 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)