Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17AE2B732D105693F06A762D1E7B4A36EB2954389DA43072942FC878C5FEEC94FD134A9 |
|
CONTENT
ssdeep
|
384:BHIIsQIIIII9ZglBqaaEH+JTQAYSkvAcyfjAkHHK+Cbq9DiapW:tIIjIIIII/mET8zc1Hq+X4 |
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 38 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)