Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15D82B5322140172E555B86FAF671F774A1AAC5AED12782A8F3BC46F15BD7CC1EB12380 |
|
CONTENT
ssdeep
|
384:7GDiiS6pwtmTx3Mo/BdFTf9qLZUopwtp+Y2NjaNcFK:SDiizomTxco/BdFTf9qLZUQoRkaNcFK |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
939c7e38693cc361 |
|
VISUAL
aHash
|
0c3e7e3e6e6e0030 |
|
VISUAL
dHash
|
b8d8d8f0d8d83cc1 |
|
VISUAL
wHash
|
0e1e7e7e7e2e0070 |
|
VISUAL
colorHash
|
300000001c0 |
|
VISUAL
cropResistant
|
a2925b64565e80a2,b8d8d8f0d8d83cc1 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.