Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T140A222318492573342A3B4E0A63A270AA6D2C705CFB7074957FC976DAFCAC59DE1BC21 |
|
CONTENT
ssdeep
|
384:l2jhDaTeeekeeetJeeeQeeefeeeueeepeeefeeeQeeeneeeSBTqWn/LRwZi:lg1IeeekeeezeeeQeeefeeeueeepeeeS |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
adb8923bd528c62d |
|
VISUAL
aHash
|
5f0f13938303097e |
|
VISUAL
dHash
|
d83fb3373333b3d0 |
|
VISUAL
wHash
|
5f1f139383030b7e |
|
VISUAL
colorHash
|
0e402040000 |
|
VISUAL
cropResistant
|
c8c1c6cb9b9b8291,dcf0868e8e8696c6,c062c0c1c98183a0,9b9999909cc6c28c,79f8001a54545454,d83fb3373333b3d0 |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)