Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E4F1A973A000D52A1EE7858DEBC3E6CDA3D6C656EA714983B2D4911F1BC0EF4C5727A8 |
|
CONTENT
ssdeep
|
192:s90Z2S99bu9SLSUy+RX6fMmUU8VCosNN5FAY8e6:OSkSLSf+RX6fMmUFCo6y |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b212ed45e88f17f0 |
|
VISUAL
aHash
|
00044c0c4c00ffdb |
|
VISUAL
dHash
|
a6888898985c2b23 |
|
VISUAL
wHash
|
000c6e0e4e06ffff |
|
VISUAL
colorHash
|
33000038000 |
|
VISUAL
cropResistant
|
aa33a22bbab2b2cc,002b2b23332b2b2b,e098888888989cdc,0105111311808088 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.