Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C9B3DC234159762B4437C6D0306A5F3AD1A6D99FFAE70A004EDCCBF62BF9CA0741A219 |
|
CONTENT
ssdeep
|
768:5jj0RLtpR4nXF6YjOpSpFlTC6rrWiE0ZvLuRbV8UDyPMVZBV:ILtpR4nXBKpSpFl26vU0ZvLEbVhWPQPV |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93656d1313496d6d |
|
VISUAL
aHash
|
001f033f6f0f0187 |
|
VISUAL
dHash
|
ddbf76dcdc9cb33f |
|
VISUAL
wHash
|
000f037f7f0f078f |
|
VISUAL
colorHash
|
00003400400 |
|
VISUAL
cropResistant
|
fd277cdcdcbcb337,dcbd77dcdcdcb377,5365882b73cc5354,1e472103161c3424,94230d3333050921 |
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)