Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DD235A726722B8B883DB91EEF7382D56B2C2589DF8C74454F5C95A8D13C3C806297BB4 |
|
CONTENT
ssdeep
|
768:a5+EsZx8/G8I4RDawCMYBqw4MYBLwZqN2/y9dGDTDiJE56ITmH+LCBlvNPqDvKAq:a5+EsZ/87RDawCMYBqw4MYBLw0N2/y9X |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc676365316598c6 |
|
VISUAL
aHash
|
8181df83df8383df |
|
VISUAL
dHash
|
0f153b0f3d372739 |
|
VISUAL
wHash
|
81c18383ff8383df |
|
VISUAL
colorHash
|
07001000180 |
|
VISUAL
cropResistant
|
0f153b0f3d372739 |
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.