Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FB234B726722B8A843DB91EEF7383D55B2D1889DF8CB4514F5C95A8E13C3C806297BB4 |
|
CONTENT
ssdeep
|
768:aV+EsZx8/G8c4MDawmMSBBwaMSBswZqN2/y9dGDTDiJE56ITmH+LCBlvNPqDvKAq:aV+EsZ/8nMDawmMSBBwaMSBsw0N2/y9X |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf3f3fc080c0e067 |
|
VISUAL
aHash
|
000080ffffffffff |
|
VISUAL
dHash
|
7f717d3878226234 |
|
VISUAL
wHash
|
0000009fff87ff9f |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
7f717d3878226234,fffff3b3fdf3ffff |
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.