Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BCB32F23415965274437C2D034795B3BE2BAD98FFAE70A010EECCBF62AF9CA0745B519 |
|
CONTENT
ssdeep
|
1536:OutpR4nXBKpSpFl26vRopWEC6ki4Mg3N9Z9u2X:FUM7pil9X |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9210c96a6eed47e3 |
|
VISUAL
aHash
|
000404040406ffff |
|
VISUAL
dHash
|
9cdccc2c2ccc002b |
|
VISUAL
wHash
|
0004068606ffffff |
|
VISUAL
colorHash
|
12200000c40 |
|
VISUAL
cropResistant
|
5334bc88d2ac2411,0000402020400000,8080618191610080,0000418191014180,848a584a582c9891,cc000957564b2b2b,dc9cdccc3c2c2ccc |
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 115 techniques to evade detection by security scanners and make reverse engineering more difficult.