Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15F235B726722B46843DB91EEF73C3D56B2D25889F8CB4414B5C95A8E23C3C816297BB4 |
|
CONTENT
ssdeep
|
768:aR+EsZx8/G8S45DawBMCBQwxMCBpwZqN2/y9dGDTDiJE56ITmH+LCBlvNPqDvKAq:aR+EsZ/8l5DawBMCBQwxMCBpw0N2/y9X |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
af2fd0e06af08587 |
|
VISUAL
aHash
|
8181818181ffffff |
|
VISUAL
dHash
|
09656d4d49000000 |
|
VISUAL
wHash
|
8181810081ffffff |
|
VISUAL
colorHash
|
16000000e00 |
|
VISUAL
cropResistant
|
09656d4d49000000,7bbbf76fefdefbbd,a969969496be929a,6f5272ffb6b45477,094ee6d2dee2cac9 |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.