Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F7E23933E7446D3342E342D6B5C623D9B1BBA519DB524C60FBAC82B8B3CAC9516331E4 |
|
CONTENT
ssdeep
|
768:7ZXjHHvXnCiW26kuoS5WjidSws/J0FHAqZXjHHvXn+Le+eCpevQDeTe4ecekfd04:7Dpe+eCpevQDeTe4ecekfCeDeWeuqe4Q |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ed4516ba12710ebe |
|
VISUAL
aHash
|
00000000ffffffff |
|
VISUAL
dHash
|
92c6c6d63f261f3b |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
03000007000 |
|
VISUAL
cropResistant
|
9b0925e6b6a4c6a6,c4809aa6a680c0d4,1737200b27182b23,c04036c6c2c6d6d0 |
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 13 techniques to evade detection by security scanners and make reverse engineering more difficult.