Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12F7262356264693F5067C3DCA7F5AA2B32CDE215C69B061487E8C3AC1BD7CA4ED53AC0 |
|
CONTENT
ssdeep
|
384:Q90jRJ/VQMNbXPTe9lEBSwBAZMmeKEGt0:Q9AJ/VbFXPjMCmLEGt0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
999b6666323199ce |
|
VISUAL
aHash
|
00183c3c3c3c1800 |
|
VISUAL
dHash
|
0c7071717171700c |
|
VISUAL
wHash
|
003c3c3c3c3c3c30 |
|
VISUAL
colorHash
|
07000008180 |
|
VISUAL
cropResistant
|
96b2e4e6e6e66631,0c7071717171700c |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)