Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12BB31123415976274437C2D130695B3BE1AADA9FFAF70A004EDCC7FA2AF9CA0745B119 |
|
CONTENT
ssdeep
|
1536:8utpR4nXBKpSpFl26vHI8NGzTCDCZArTtT3elF:vUMaz3E |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9210e96e6eec61e3 |
|
VISUAL
aHash
|
000404040406ffff |
|
VISUAL
dHash
|
9cdc9c2c2ccc002b |
|
VISUAL
wHash
|
0004068606ffffff |
|
VISUAL
colorHash
|
12200000c40 |
|
VISUAL
cropResistant
|
5334bc88d2ac2411,0000402020400000,8080618191610080,0000418191014180,c2d2584b3a54d081,cc000957564e2b2b,dc9cdc9c3c2caccc |
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 113 techniques to evade detection by security scanners and make reverse engineering more difficult.