Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FD235BB26722B4B843DB91EEF73C2D55B2D1588DF8CB4550B5C95A8E23C3C812297BB4 |
|
CONTENT
ssdeep
|
768:aODD+EsZx8/G884QjDawdMbBQwYMbBpwZCN2/y9dGDTDiJE56ITmH+LCBlvNPqDN:aODD+EsZ/8HQjDawdMbBQwYMbBpwcN2p |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf3f95c06ac0941e |
|
VISUAL
aHash
|
8181818181ffffff |
|
VISUAL
dHash
|
7d71754d55000000 |
|
VISUAL
wHash
|
8181810081ffffff |
|
VISUAL
colorHash
|
160000001c0 |
|
VISUAL
cropResistant
|
7d71754d55000000,fff3f3f76fc2d4d4 |
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.