Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T169335C726731B8A983DF51EEE7382D4AB2C6849DE8CB4540F5C996DD13C7C902287BB4 |
|
CONTENT
ssdeep
|
1536:aW+EsZ/8APDVRSMjBsREMjBtrpRXPZlQaQD9OehM+BrUgq4FJ:aj7R0RLrpR/PkEeDFJ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8e73ac998693c873 |
|
VISUAL
aHash
|
ff003c3c183c3f3b |
|
VISUAL
dHash
|
c6b2d5e969f1e4b3 |
|
VISUAL
wHash
|
ff003c3c003c3f3f |
|
VISUAL
colorHash
|
080000001c0 |
|
VISUAL
cropResistant
|
000c08b0f1f1f1f1,5b5ba999b5042929,59f96791a4293564,b44b09ab4e17d696,d52b2bd5e9d7eb6b,aa80c85313c080aa,0030b0b030000020,d631dc69e9f1e4b3 |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.