Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EA823271414AA12B133B49C8EC725B1E70E3DB1DCD230C469ABC979FBFD1DA1AD1548A |
|
CONTENT
ssdeep
|
384:RzTqXpWAzFjei2K5YLlxHLrpr3bn3glh5yDX7tl1O7f:pOZWA9h5yDX7tlk7f |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cf3938c6c313c63c |
|
VISUAL
aHash
|
00003c3c3c3c0000 |
|
VISUAL
dHash
|
4e36696969696983 |
|
VISUAL
wHash
|
00803cfdbeffc1c1 |
|
VISUAL
colorHash
|
06001000180 |
|
VISUAL
cropResistant
|
9407262a0b908726,4e36696969696983 |
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 1558 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)