Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19463D07097D55AB60063C1C5E3B68F1523E046B5EF03462817F9876F2EC6C90AB4E2EB |
|
CONTENT
ssdeep
|
1536:v44FPeTrZiPdtmlTxhbDY35fDBbuAOz2LcQge:0odAhfDY35fViGL/ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f946b9a30c338799 |
|
VISUAL
aHash
|
00000000f8ffefff |
|
VISUAL
dHash
|
df030903001c1b3b |
|
VISUAL
wHash
|
00800000ffffefff |
|
VISUAL
colorHash
|
03000000e00 |
|
VISUAL
cropResistant
|
ffffffffffffffff,0000000100000000,10009e1b1b1b373b,df0f020309090700,0000000000003830 |
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 73 techniques to evade detection by security scanners and make reverse engineering more difficult.