Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E8234C726731B8A883DB52EEE7382D49B2C5549DE8CB4410F5C99ACD23C7CD02287BB4 |
|
CONTENT
ssdeep
|
1536:aK634+EsZ/8+DVRNMjBqReMjBbDrpRXPZlQaQD9OehM+BrUgq4z:aK63RjRtRnDrpR/PkEeDz |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ef91c491ce2b3ea0 |
|
VISUAL
aHash
|
ffff818181818181 |
|
VISUAL
dHash
|
7171696161696161 |
|
VISUAL
wHash
|
ffff81b1b1818181 |
|
VISUAL
colorHash
|
11000c10000 |
|
VISUAL
cropResistant
|
7171696161696161,c4c0d0c0c4c4e4e4 |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.