Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T196B3F8B74638417EE2834AECE0912D69628BAF2FDC1842C0D7DE5B5715F5E72B9093C8 |
|
CONTENT
ssdeep
|
1536:obIsrBnv3LuEl3C7oPPcDh9bphgfullaQQ+iDiemKeZDekHefWeyfelXJew0eboZ:ob3n7WG165Z |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
dcff373194cc4860 |
|
VISUAL
aHash
|
06acfc3c18180034 |
|
VISUAL
dHash
|
1c4961f0b093c8c4 |
|
VISUAL
wHash
|
8efcfd7c1818207c |
|
VISUAL
colorHash
|
30600000001 |
|
VISUAL
cropResistant
|
1c4961f0b093c8c4 |
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 32 techniques to evade detection by security scanners and make reverse engineering more difficult.