Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17DE2C932D0096A3F06A762D1F775A35EA3824389D983076A46FCC74D5BEACB0ED134A5 |
|
CONTENT
ssdeep
|
384:BayIIsDIIIII9ylBqa8C3Yrkv5c50jA4fgK+b2QTiMpW:cyIIIIIIIIkuGhfp+Kf |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
83e37d0c9c396396 |
|
VISUAL
aHash
|
00e3e7ef7f381818 |
|
VISUAL
dHash
|
97cfcfdbe5e3f0f0 |
|
VISUAL
wHash
|
00e3e7ef7f381818 |
|
VISUAL
colorHash
|
19030000000 |
|
VISUAL
cropResistant
|
f3d3d2ec9c988c8c,0000616969000000,97cfcfdbe5e3f0f0 |
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 34 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)