Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11A51873060258C6B5043D2D9F37AAB9A35858389CB934F08B2FC57AE27E6ECDEC11148 |
|
CONTENT
ssdeep
|
48:T7YRw9pjs5tXR9lVucV++63eUEx9aoHShmqYcVJwGXePViaEEszjlT0/qrsJKLzI:Tgg+JbK3emoH4hY7V8QqrsJStS |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9cc861b362e666e6 |
|
VISUAL
aHash
|
bf1d191d1f1fff00 |
|
VISUAL
dHash
|
7173313179793c39 |
|
VISUAL
wHash
|
bd19181d1f1fbf00 |
|
VISUAL
colorHash
|
07000000180 |
|
VISUAL
cropResistant
|
7173313179797c79,54593b3b57545554 |
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.