Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11C63BF37B1402E26415283C8FBA2579B2215D648CF4B0B9D535CC2B7ADDFE78ED424E9 |
|
CONTENT
ssdeep
|
1536:uMm4i9D790M+go9YwHaOAvv9GbI22BCCSgbJD:zMfvo9+Dvvqb2wg1D |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cbc33c73762c5528 |
|
VISUAL
aHash
|
383c3c3c3c3c0101 |
|
VISUAL
dHash
|
c9c9e9e1c9c9b3eb |
|
VISUAL
wHash
|
3c7c7c7c7c7c0301 |
|
VISUAL
colorHash
|
07000018180 |
|
VISUAL
cropResistant
|
939bceccc3139b9b,f28c86d6aa2a32b2,c9c9e9e1c9c9b3eb,891692d2324eb1b1,46b9b132181a1a18 |
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 34 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)