Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13BB3F023421935274437C3C4346A5B3BD1A6999FFAE609004EDCCBFA2BF9CA0746B65D |
|
CONTENT
ssdeep
|
768:MS15tpR4nXF6YjOpSpFlTC6rrWmf3Z0UTzV5q68Aij:MSHtpR4nXBKpSpFl26vZf3Z0qq5Aij |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93076d13d30f6d0d |
|
VISUAL
aHash
|
000f037e6e0f01f7 |
|
VISUAL
dHash
|
d8bd7edcdc98f30f |
|
VISUAL
wHash
|
000f037f7f0f01f7 |
|
VISUAL
colorHash
|
00003400400 |
|
VISUAL
cropResistant
|
fc37fcdcdcb9f307,d8bd77dcdcdcb367,cc4b4d946b636554,072305170e1c3424,d8100c3232080001 |
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)