Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19473747211C66E7B20D342D1831DD39AD386E60AC7678A46DBE8439F26C7DF0EE35168 |
|
CONTENT
ssdeep
|
1536:JG3iGJ3YhDcWY01zvHZgbt03iH1tY01mx8RQ87c:BOS36E |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c2416d3e96c4b6e9 |
|
VISUAL
aHash
|
00003c7e7effd1ff |
|
VISUAL
dHash
|
9693c0d8cccc238e |
|
VISUAL
wHash
|
00003c7e7effd1c3 |
|
VISUAL
colorHash
|
06010000e00 |
|
VISUAL
cropResistant
|
d0c8d4cccc23638e,86b3d393d4c8d4d4,4551657171694541,29f6d73bd3191966,82454d71714d4500,651b999108999367,44a5985c364d4d31 |
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)