Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14C627336B11C1248252638D7E4B533AEF72B153E7E434CF13571DA1ED29862FB032AA5 |
|
CONTENT
ssdeep
|
384:FeQWDJns08xElh1AWrzUFSfUC/JjN99saLG:FeQWDJs08xElhPoSxN9CaLG |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e9c39639c1693c96 |
|
VISUAL
aHash
|
ffff81818181c3ff |
|
VISUAL
dHash
|
12332f0313071f00 |
|
VISUAL
wHash
|
f3ff8181818181ff |
|
VISUAL
colorHash
|
17038000040 |
|
VISUAL
cropResistant
|
12332f0313071f00,e2030713330f3737 |
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 12 techniques to evade detection by security scanners and make reverse engineering more difficult.