Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18E821E37B084853B4F8B40FEEA88A769718DD155F730C98259F0826FAB84DED352275E |
|
CONTENT
ssdeep
|
384:d85mUpWZrQEZ7oCseDE7Sn66OAGlgPcuD7oYzyQAbU/wkzm6L6/kxUfMmUFCoA:eTp4rQEZ7oCse6Sn9OAGlgPcuDkYzyQa |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b636e3e33324ccc8 |
|
VISUAL
aHash
|
070717077fffffff |
|
VISUAL
dHash
|
cd2da52dbd40fcf0 |
|
VISUAL
wHash
|
07070707070f7f3f |
|
VISUAL
colorHash
|
0f000230000 |
|
VISUAL
cropResistant
|
cd2da52dbd40fcf0,2a32a22a323232cc,6da9038c8c8c8c4c |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.