Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13BB33B603619B56725B343EB60DF3212B279523FD40F4C60B364ECAA636CC5BA163F86 |
|
CONTENT
ssdeep
|
1536:tRCPr/SpXhtRlXFfbsQmlo2h2wV9LHd8tVPTMn57Bdluq++iX8z:t8P6XXjUMAL98n0dH++v |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3361ccc989933ec |
|
VISUAL
aHash
|
9924e7efffe7dfdb |
|
VISUAL
dHash
|
224d4c080c0e222a |
|
VISUAL
wHash
|
0000c3e7ffe7c3c3 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
224d4c080c0e222a |
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.