Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T159B2445231085995C2F34CDD94502A84A282E74FC8714670D2FC4E3B1BD6AB6B7A9F7F |
|
CONTENT
ssdeep
|
384:piOIRUIuNh6RJIOLTOO6T1FRZAPahSZEVgv+jN/h2T:LIYYIQS1L2ESv+jNET |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d2a55a27a558ad72 |
|
VISUAL
aHash
|
e7e7e7ffe7fcfcfc |
|
VISUAL
dHash
|
0c0c4c100c0c2008 |
|
VISUAL
wHash
|
00e7e7c3c7c098fc |
|
VISUAL
colorHash
|
07000018180 |
|
VISUAL
cropResistant
|
0c0c4c100c0c2008,c9c8d492948caaaa |
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 5 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)