Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11A235B726722B8A843DB91EEFB382D56B2D5888DE8C74450F5C95ACD13C3C816287BB4 |
|
CONTENT
ssdeep
|
768:af+EsZx8/G8xRF40DawmMqBtw4MqB8wZCN2/y9dGDTDiJE56ITmH+LCBlvNPqDvF:af+EsZ/8zO0DawmMqBtw4MqB8wcN2/ye |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
eb38c591c5c5b1d1 |
|
VISUAL
aHash
|
818181818181a1a1 |
|
VISUAL
dHash
|
71714d454545454d |
|
VISUAL
wHash
|
ff8181b1bd81b1b1 |
|
VISUAL
colorHash
|
010000001c0 |
|
VISUAL
cropResistant
|
71714d454545454d,70618cc4d480c4cc |
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.