Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T173C2983271002A3B53D792C9B762B32AE2E3D34DE6060515A6FDC39D0BA7E64DE33516 |
|
CONTENT
ssdeep
|
768:fScy5N46PYOWD4sCfeCIat5F7sOy2+y9BH4crIe:YglDTo5F7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363bc1add2bc381 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
9c8ccacac8ccc300 |
|
VISUAL
wHash
|
00e7f3700004ffff |
|
VISUAL
colorHash
|
31000400030 |
|
VISUAL
cropResistant
|
208080024c888000,940cc6cac0c8cdc1 |
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.