Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12251F0719019AC739103E2E866D4AB8B31C7C215C687254C53F4D36C1EE3C5DDEA6629 |
|
CONTENT
ssdeep
|
48:LUk1UJhhzazyC9TTOiyXdzxnP+xnOa26YXAPy9uilXeiM7ay6BLPHwut16:LdO8zyE+RxnP+xnDbBy9ui4iMeBFPwu6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
83f67f09090999fc |
|
VISUAL
aHash
|
3f3f3f3f3f3f3f3f |
|
VISUAL
dHash
|
d0cccccdd8d0d0d0 |
|
VISUAL
wHash
|
3f27373f3f0f0000 |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
a09c989a90808080,f184acb6b6ac84f3,0e71710e20000000 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)