Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T176729A655219093F61134AA4F660BB7A60E9B349C60BD50CF5FD137A33C6DC4ECB3AA8 |
|
CONTENT
ssdeep
|
192:ShzjGH/HRHclF8LC5+uX1KFNbiXbiZbi2bil3pdmR7w43yJHAf+a:OzjPlF8LD+KPyI/OTR8l |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e699998c99cccccc |
|
VISUAL
aHash
|
e7e7e7e7e7e7e7e7 |
|
VISUAL
dHash
|
4d4d4d4d4d4d4d4d |
|
VISUAL
wHash
|
0404040427272727 |
|
VISUAL
colorHash
|
06200080006 |
|
VISUAL
cropResistant
|
4d4d4d4d4d4d4d4d,460e337169610141 |
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 99 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)