Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10AA37933411875274037C6D530A55B3BE2E69A4FFAA70A014EECD7FA2BFAC90745B11A |
|
CONTENT
ssdeep
|
1536:rib+qLz4NP/y9svbliCdgf2gRZuiFtWAuCa2JX2ZP4:Oa0mAhf2gRZud4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3439d3ab838f532 |
|
VISUAL
aHash
|
00200000000000ff |
|
VISUAL
dHash
|
68c0c0c8c8c49348 |
|
VISUAL
wHash
|
00786060fc30ffff |
|
VISUAL
colorHash
|
31000c00000 |
|
VISUAL
cropResistant
|
0000000118588090,29c0c0c0c8c8c490 |
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.