Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B6A29672A0542A3F515783CC7352B36FE1D3A24DCB89080A52FA4BEE4BF6ED0D81755A |
|
CONTENT
ssdeep
|
384:aAy5N/G+16LNxFsc9nlmbeksowfYUNf4BbLo4ENBwk7MIYsOy2+y9BH4cCUIe:aAy5N/GS+IeksowfYMobLENGkA7sOy2T |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c36ffd3290690696 |
|
VISUAL
aHash
|
000020000400ffff |
|
VISUAL
dHash
|
0c43c3c3cdcd3300 |
|
VISUAL
wHash
|
00f1f1400f01ffff |
|
VISUAL
colorHash
|
39000600001 |
|
VISUAL
cropResistant
|
0000000c0c000000,0080900270b08000,9c4743c3d3edcd13 |
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.