Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T195234B726722B8A843DB91EEF7382D56B2D2589DF8C74410F5C95ACD13C3C816297BB4 |
|
CONTENT
ssdeep
|
768:aR+EsZx8/G8E4ZDawDM2BJwnM2BYwZCN2/y9dGDTDiJE56ITmH+LCBlvNPqDvKAZ:aR+EsZ/8/ZDawDM2BJwnM2BYwcN2/y9M |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc3c93c3c3c4c3c3 |
|
VISUAL
aHash
|
83818183ffffffff |
|
VISUAL
dHash
|
3f3b3f3f4d2f3715 |
|
VISUAL
wHash
|
81818181c7ffc3df |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
3f3b3f3f4d2f3715,696592da2a1adafb,fffffef3f3ffffff |
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.