Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A623EAF8531053B8A9479BE7EEB06C1C351EB17D99D5898A8698CF68A7F3CDCF640480 |
|
CONTENT
ssdeep
|
768:OJ2URN8PyGddn5/BwOy5b15LkEReFADrtWBbegah+0PHvKbnI98tGRBNf:MKKCdn5/BS5bLyFA3tWBbegan/ijgBNf |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9d0de372f6266289 |
|
VISUAL
aHash
|
001818181800ffff |
|
VISUAL
dHash
|
32b2b2b2b2048c00 |
|
VISUAL
wHash
|
1a1a1a1a1c04ffff |
|
VISUAL
colorHash
|
3a400000007 |
|
VISUAL
cropResistant
|
626260c85b73f87a,040c80d010808000,32b2b2b2b2b2310d |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)