Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B3A37A33411835274437C6D530A55B3BE2E6995FFAA70A010EECD7FA1BFAC90745B11A |
|
CONTENT
ssdeep
|
1536:euLz4NP/y9svbliCda2rPFFtiuCa28y2O9:bmA/oG |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d3478d32bc39b261 |
|
VISUAL
aHash
|
00202000000420ff |
|
VISUAL
dHash
|
dcc8c8c2ccccc3c8 |
|
VISUAL
wHash
|
06746060444effff |
|
VISUAL
colorHash
|
31038000000 |
|
VISUAL
cropResistant
|
c000a08058588090,dce8c8c8c8ccccc3 |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)