Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F012422028C1663342A793D9FB25D75FA392C246EA534F41A3F8C34EDBDBD4ADC1454A |
|
CONTENT
ssdeep
|
192:rhbr044Cu+Fua5EJ7q7rzyZkBVuZ8OU/UMtF8KDBuG3:rxQ44C1ua5A7q7rzymBJ8KuG3 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
eceae913c98349b1 |
|
VISUAL
aHash
|
fff1f1f1f300fff3 |
|
VISUAL
dHash
|
2b27232327d82727 |
|
VISUAL
wHash
|
ffd1d1f10000f3f1 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
2b292727232327cc,0401242627232323,707cb4f27070f469,4432c4c422dc5000,6e6f696969292d2d |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)