Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T116235BB26722B8B843DB91EEB7382D45B2D2489DF8C74510F5C95A8D23C3C906297BB4 |
|
CONTENT
ssdeep
|
768:aeVcNBq+EsZx8/G8i4QoDawEMjBywlMjBjCN2/y9dGDTDiJE56ITmH+LCBlvNPqC:ac0Y+EsZ/81QoDawEMjBywlMjBGN2/yb |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e96992963639596a |
|
VISUAL
aHash
|
85f98991b3ffffff |
|
VISUAL
dHash
|
6d53333363990000 |
|
VISUAL
wHash
|
0081818181ffffff |
|
VISUAL
colorHash
|
07000000e00 |
|
VISUAL
cropResistant
|
6d53333363990000,630743746f37ce4d |
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.