Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T166A3FE234159752B4437C3C0346A6B3BD1A6998FFEE709404EDDCBFA2AFAC90741A15E |
|
CONTENT
ssdeep
|
768:EuGnkctpR4nXF6YjOpSpFlTC6rrWMC3rpH74XAY3QMcmR48Et:E9nXtpR4nXBKpSpFl26vtCbSAcQMcm6t |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
926d6d13136c6d65 |
|
VISUAL
aHash
|
001f013f7e0f0183 |
|
VISUAL
dHash
|
dcbd27fcdcdcb377 |
|
VISUAL
wHash
|
000f033f7f1f0d8f |
|
VISUAL
colorHash
|
00003400400 |
|
VISUAL
cropResistant
|
796bfdd8b8796bef,dcbd27fcdcdcb377,6347a95350cc676e,2e470513161c3424,cc11081212080121 |
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 113 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)