Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C3522126F30A1805833BC9C4F1A3EF8DA39783189345CA385BF68936D5ECA715C926CD |
|
CONTENT
ssdeep
|
384:IRMvWxq8TtTFxk6+BoOkueHg0ZbZltdBHhoLLWB:IRMvWxq8TtTFxk6+B/Npk3+WB |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f0a7cc8d7331cc8c |
|
VISUAL
aHash
|
fffbc7c7c7dfdfdc |
|
VISUAL
dHash
|
f072959d9ab2b1b0 |
|
VISUAL
wHash
|
ff3b0303031b1e1c |
|
VISUAL
colorHash
|
07c02000000 |
|
VISUAL
cropResistant
|
f072959d9ab2b1b0,bf1e9e9f1f9d9581 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.