Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AE235B726722B8B843DB91EEB7382C55B2D2489DF8CB4414F5C95ACD23C3C816297BB4 |
|
CONTENT
ssdeep
|
768:aePOI+EsZx8/G804CDawlM7BrwlM7Bir82+/9dtZkDieE565ThHEnnvdhfePqDvs:aePOI+EsZ/8vCDawlM7BrwlM7BG82+/m |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf3fc0c0d0dfd0c0 |
|
VISUAL
aHash
|
ff010101ffffffff |
|
VISUAL
dHash
|
297d797f1f002100 |
|
VISUAL
wHash
|
85000000c7ffffff |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
297d797f1f002100,ffdfefffffffffff |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.