Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B091107110598C2762C3C6E8E1F7AA0BA287C719CF829E0667F843AD5FE7D95CC512A1 |
|
CONTENT
ssdeep
|
96:i3VkajN8C2Iv9D9WqvY53b9Pl/Rz4Q636hiaA:iFhb9WqAxPlWQ6368aA |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ccb323cc19b366b2 |
|
VISUAL
aHash
|
ffffffffff180000 |
|
VISUAL
dHash
|
00000c3232b00803 |
|
VISUAL
wHash
|
ffffff5d18100000 |
|
VISUAL
colorHash
|
07000010180 |
|
VISUAL
cropResistant
|
00100cb2b2b00800,0004030b32404430 |
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 21 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)