Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13C5394735201763F218342C19FAD931AB3C1CA4DDBD1DA57EADC832A62C7DA0ED2A175 |
|
CONTENT
ssdeep
|
1536:z080zDkNmIqFB26dQ68c6Qy6h/69u+Wxm/r8gFdrYmc3if4:S/E9q326dQ68c6Qy6h/69X3h4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
968f38e3c3c9c398 |
|
VISUAL
aHash
|
00003e7e7e6e0000 |
|
VISUAL
dHash
|
6934ccdccccc3338 |
|
VISUAL
wHash
|
3d0c7e7e7f7e0000 |
|
VISUAL
colorHash
|
07c00008000 |
|
VISUAL
cropResistant
|
6934ccdccccc3338,786f071f0d31b034,0f0f0f174323138b,9818500161656000,b2d6172ed5656949,0024c55556762410 |
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)