Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13B336C726771B8A982DB52EEFB382E49B2C6949DF8C74440F1C9568D13C7C9062877B4 |
|
CONTENT
ssdeep
|
1536:a6+EsZ/8yP+DVRAMQBSROMQBHrpRXPZlQaQD9OehM+BrUgq4FJ:avQR1RgrpR/PkEeDFJ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b23c1e1b1e661d33 |
|
VISUAL
aHash
|
00c3c3e7e7efe7ff |
|
VISUAL
dHash
|
259e96cc9ccc4c10 |
|
VISUAL
wHash
|
00434343436fe7ff |
|
VISUAL
colorHash
|
07200038000 |
|
VISUAL
cropResistant
|
259e96cc9ccc4c10,461626665606a1a4,4d4c9049db55b682,4515859c9c954555,035d0626f8a08ab0 |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.