Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B8B36833411875274037C6D530A55B3BE2E68A4FFAA70A014EECD7FA5BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:gNm620WLz4NP/y9svbliCdZlqRHTuaFtWAuCa2lX2ZP4:wm627mAqlqRHTuv4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c343b53ab838f523 |
|
VISUAL
aHash
|
00200000000000ff |
|
VISUAL
dHash
|
48c0c0c0c9d0c3c8 |
|
VISUAL
wHash
|
00706070fc30ffff |
|
VISUAL
colorHash
|
31000c00000 |
|
VISUAL
cropResistant
|
e400000058588090,08e8c0c0c9c1d1e4 |
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.