Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FD232922EE68133E95174BD97328F7287957C00FD68204E9B9F9DA24D3D6D68C133AC9 |
|
CONTENT
ssdeep
|
384:PJzPreC0WCR8O6IP+o23pMorRRyL7+OA4K+DBbXlX3YJtzV/Hf9j:hDJ4X6U+1Ry/wEx3YNl |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e9e99606ce1611eb |
|
VISUAL
aHash
|
ffc3c1c1e10000ff |
|
VISUAL
dHash
|
230b1b0303034c20 |
|
VISUAL
wHash
|
ffc3e3c1e10000ff |
|
VISUAL
colorHash
|
06000000038 |
|
VISUAL
cropResistant
|
230b1b0303034c20,0044ad5549599420 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.