Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17B336C726731B8A883DF51EEE7382E49B2C6549DE8CB8550F5C956CD23C7C902287BB4 |
|
CONTENT
ssdeep
|
1536:aLsk+EsZ/8RbqDVR4MjBSR5MjBHrpRXPZlQaQD9OehM+BrUgq4FJ:aspRIRarpR/PkEeDFJ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
fa7a91e06a918793 |
|
VISUAL
aHash
|
8181818181ffffff |
|
VISUAL
dHash
|
0535393545451c31 |
|
VISUAL
wHash
|
8181818181f5ffff |
|
VISUAL
colorHash
|
07400000010 |
|
VISUAL
cropResistant
|
0535393545451c31,f8f86c28dd6db0f1,2b24542c4d0f2a51,7c7cfeeebc78a0d0,84353058513488e4 |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.