Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T106F1627194C4242B021BE6C9DE70FF49F2D3D146DB865E42A2F8660E6B83E62DC22589 |
|
CONTENT
ssdeep
|
96:Tcjo83i60KXe0yjctTVhTEpTYrYaQYkxYQYuQY4FYwYGZYzYD70yCJsT/2ihEq:lKXe00ctTVhTEqTb5X |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c8dd72331dc81f62 |
|
VISUAL
aHash
|
00f8585818006200 |
|
VISUAL
dHash
|
b2b2b2b2b2ac94c4 |
|
VISUAL
wHash
|
00f8f9ffff006604 |
|
VISUAL
colorHash
|
38002000180 |
|
VISUAL
cropResistant
|
828080da5aa080a2,a28080da5a9a80a2,b2b2b2b2b2ac94c4 |
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 29 techniques to evade detection by security scanners and make reverse engineering more difficult.