Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14D234BB26722B4A843DB91EEE73C2D56B2D1489DF8CB4450F5C95A8D23C3C816297BB4 |
|
CONTENT
ssdeep
|
768:aeBd+EsZx8/G8U4QZDawrM2BNwnM2BcwZCN2/y9dGDTDiJE56ITmH+LCBlvNPqDN:aeBd+EsZ/8PQZDawrM2BNwnM2BcwcN2p |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc3c30c3c3c7c6c3 |
|
VISUAL
aHash
|
c38181c3ffffffff |
|
VISUAL
dHash
|
3f3f3f3f593f191d |
|
VISUAL
wHash
|
81818181c3c7ffdf |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
3f3f3f3f593f191d,7b6aed4d696929bf,fff3f3fefff6f7ff |
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.