Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1577210319094793B028396D46624771BB3D28289DF230F052BF5D79E6FFBD12CD2668A |
|
CONTENT
ssdeep
|
192:vrKrWlDedFjV1Ef9eVD5W9qgxuVgYa9GmHnj5W+553PYputSUiUilnfhD:2ClSCf9eVDc9+Na9GmjQkT+fhD |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b616e9e9c1a2f8c1 |
|
VISUAL
aHash
|
ff0404043fc3ffff |
|
VISUAL
dHash
|
33fcececfe2b2b32 |
|
VISUAL
wHash
|
ff00040403c3ffff |
|
VISUAL
colorHash
|
0e0000001c0 |
|
VISUAL
cropResistant
|
12331680272f00fe,da58c2eaea928a8a,da2a2b2b2b2b3344,fcfcfcececececfe,df6f969ee6b67d7f,9fbf9e9e76b67dff,e0d09696a6a20100 |
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 11 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)