Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13EA37933411875274037C6D530A55B3BE2E68A5FFAA70A014EECD7FA1BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:sSiZ9Lz4NP/y9svbliCd8nIz23u9FtWAuCa2lX2ZP4:BiZVmA5nIz23uS4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c343b53abc38d523 |
|
VISUAL
aHash
|
00202000000030ff |
|
VISUAL
dHash
|
68c8c8c0c8c4c3c8 |
|
VISUAL
wHash
|
007860707c30ffff |
|
VISUAL
colorHash
|
31000c00000 |
|
VISUAL
cropResistant
|
c000000058588090,19c8c8c0c8c8c4c0 |
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.