Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15FB22AB1309454031A63D1C87933632FE293859ADE7B49C8D2E4A69F3FE1E5BC883365 |
|
CONTENT
ssdeep
|
768:hJhODrbCacxEiHpujcuq422iIuu3p3ODyL0FW6RS2vUwXNAzwUWAyWwR2vYt4L:hJscBmfH2vUxzwUWAnwR2vYt4L |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
99664c31e3e6b2e1 |
|
VISUAL
aHash
|
001818abcf1c383c |
|
VISUAL
dHash
|
e871702a1ab93272 |
|
VISUAL
wHash
|
001818ebefdf383c |
|
VISUAL
colorHash
|
06c00000000 |
|
VISUAL
cropResistant
|
32694d1935f4d2e8,e871702a1ab93272 |
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 32 techniques to evade detection by security scanners and make reverse engineering more difficult.