Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T108E2E9F8576492F8D403E3F4D723BC283E5728FBAB05CAA492E54C54EAE1C4E8855C93 |
|
CONTENT
ssdeep
|
384:8UugmsoNlr+weMKvIZLmKT6alPC+sCjFaUKZgfLvHkrLqS4PTEO9OHfT1vsqkIja:FuF0g5bT6WPDKZOvrSK5oLa/5uNY |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
dc9e4760f89ec541 |
|
VISUAL
aHash
|
5800bfffc3000000 |
|
VISUAL
dHash
|
b2b2622bb2922910 |
|
VISUAL
wHash
|
fe00ffffc3da0000 |
|
VISUAL
colorHash
|
30001000018 |
|
VISUAL
cropResistant
|
b8bce1fae6868f95,6a6c176766161464,b2b2622bb2922910 |
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 1957 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)