Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B0234B726732B8A843DB91EEF73C2946B2D2588DE8CB4550F5C95A8D13C3C816297BB4 |
|
CONTENT
ssdeep
|
768:an+EsZx8/G88v4DDawSM2BcMw9M2BclwZCN2/y9dGDTDiJE56ITmH+LCBlvNPqDN:an+EsZ/88wDDawSM2B/w9M2B+wcN2/ye |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9232ed6d5b921a6c |
|
VISUAL
aHash
|
0000040400ffffff |
|
VISUAL
dHash
|
9a848c88a8160000 |
|
VISUAL
wHash
|
e300040c00ffffff |
|
VISUAL
colorHash
|
33000e00000 |
|
VISUAL
cropResistant
|
0000080c0c0c0008,1fdfceaee6ced060,0000000000000000,9086ac9ccca8aa94 |
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.