Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T150A37933411875274437C6D430A55B3BE2E69A8FFAA70A014EECD7FA2BFAC90745711A |
|
CONTENT
ssdeep
|
1536:Vh1tLz4NP/y9svbliCdAvK1JXTuDFtWAuCa2xX25P4:L1FmA5vgJXTuU4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c303953ab838fd66 |
|
VISUAL
aHash
|
00200000000071ff |
|
VISUAL
dHash
|
68c0c0c8c8c4c5c0 |
|
VISUAL
wHash
|
00783070fc20ffff |
|
VISUAL
colorHash
|
31000c00000 |
|
VISUAL
cropResistant
|
0000000118588090,29c0c0c0c8e4d0c4 |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.