Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T177823171414AA12B133B49C8EC725B1E70E3DB1DCD230C469ABC979FBFD1DA1AD1648A |
|
CONTENT
ssdeep
|
384:RzcqQpVjVFjei2K5YLlxHLrpr3bn3glhUX7tl1O7f:p9WVjHhUX7tlk7f |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cf3c30c3c74ccb38 |
|
VISUAL
aHash
|
00003c3c3c3c0000 |
|
VISUAL
dHash
|
46367161696949a7 |
|
VISUAL
wHash
|
00003cfdbeffc5c1 |
|
VISUAL
colorHash
|
06400008040 |
|
VISUAL
cropResistant
|
c92b29090b082e24,46367161696949a7,193c63717921161e |
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)