Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16FF30AB1A0B536BF1597A7D07B09636AB7C58088DF120E46C3F6C688778FE41E83B165 |
|
CONTENT
ssdeep
|
3072:jdcS7e2JVtrYJVtrtxQdcSZ02JVtrYJVtrtx0dcSZ02JVtrYJVtrtx0dcSZ02JV/:Z7e2JVtrYJVtrtx4Z02JVtrYJVtrtxcZ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93cd366969368639 |
|
VISUAL
aHash
|
007e7e7e787e0606 |
|
VISUAL
dHash
|
83d8dcc0d2d0cc8c |
|
VISUAL
wHash
|
007e7e7e787e0606 |
|
VISUAL
colorHash
|
06000000c00 |
|
VISUAL
cropResistant
|
18694919196e0d4d,83d8dcc0d2d0cc8c,8e8eccdcd8c8c8d6,cb3311cbd307c8d6 |
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 28 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)