Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18AE2B3319048A93F16A773C1F7A1E35BA28143C9E943476A42FDC74D0BDEC90ED2B995 |
|
CONTENT
ssdeep
|
384:Y2fIIViGIIIII9klBVoujI1/lmCY2lp0NyWs8XgfbpW:9fIIxIIIIIgU1/wf2lp0NyW |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3e3711c1c3963d6 |
|
VISUAL
aHash
|
00e3e7ff7f381810 |
|
VISUAL
dHash
|
97cfcff3e5f3f0f0 |
|
VISUAL
wHash
|
00e1ffff7f181810 |
|
VISUAL
colorHash
|
19030000000 |
|
VISUAL
cropResistant
|
f3e3d3cacd988c8c,0000606868400000,97cfcff3e5f3f0f0 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)