Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14892703402EE65FF115371C29576AF2873C14656CB23AE9836FACBCE1BA9C019D17C29 |
|
CONTENT
ssdeep
|
192:NWj41KGRlANB71hy98b+IlTdz/t009k/b6FEt+BbhfyulM0gYEHKwLzI:NWjscv1QiiIlTdz/zkcMC9gle |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
926ca8f9acbca98a |
|
VISUAL
aHash
|
7c3c3c3c3c3c3c3c |
|
VISUAL
dHash
|
e4cce8e0f0d8d8d9 |
|
VISUAL
wHash
|
3c3c3c3c3c3c3c3c |
|
VISUAL
colorHash
|
1b002200240 |
|
VISUAL
cropResistant
|
2325232723222223,435795964c6de49a,f2ba3838787cf878,b2b1fcdcd2b4a0b0,c4c8e8e0f0d8d8d9,4142414646424180,000000000182a2a2,a24daaccccaa8a11 |
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 249 techniques to evade detection by security scanners and make reverse engineering more difficult.