Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EF234B726322B8A843DB91DEEB383D56A2D1489DF8CB4454F5C95ACD23C3C816297BB4 |
|
CONTENT
ssdeep
|
768:axw43+EsZx8/G8N4rDawkMZB0w8MZBjw9r82+/9dtZkDieE565TmHEnkvdhfVPq8:aB+EsZ/8GrDawkMZB0w8MZBjwh82+/9n |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bbf06c6885d991b4 |
|
VISUAL
aHash
|
f1818f8f8f8d818f |
|
VISUAL
dHash
|
633959595d591b7b |
|
VISUAL
wHash
|
f3818f8f8f89818b |
|
VISUAL
colorHash
|
1b20a008200 |
|
VISUAL
cropResistant
|
633959595d591b7b,b981316366301306,fcfbfb9b9bfbfbeb,411a989c9e581bfa |
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.