Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FA235B726722B8B843DB91EEFB3C2D56B2D1588DF8C74450B5C95A8E13C3C816297BB4 |
|
CONTENT
ssdeep
|
768:a7K0+EsZx8/G8NRF4QzDawrMjBowWdMjBRCN2/y9dGDTDiJE56ITmH+LCBlvNPqC:a7K0+EsZ/8/OQzDawrMjBow+MjBEN2/C |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ebbce590c4c194e5 |
|
VISUAL
aHash
|
8181818181818181 |
|
VISUAL
dHash
|
71714d454155454d |
|
VISUAL
wHash
|
ff8181bdbd81a1a1 |
|
VISUAL
colorHash
|
010000001c0 |
|
VISUAL
cropResistant
|
71714d454155454d,3071ccc4c0d8c8c8 |
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.