Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AB235C726722B8B843DB91EEF7382D46B2D2988DF8C74454B5C95A8D13C3C816287BF4 |
|
CONTENT
ssdeep
|
768:acp5M+EsZx8/G8+RF4wDawuMxB9wtMxBIwZqN2/y9dGDTDiJE56ITmH+LCBlvNP1:acp5M+EsZ/8QOwDawuMxB9wtMxBIw0NH |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf6a61a19793d092 |
|
VISUAL
aHash
|
87818f9f9fbfaf9f |
|
VISUAL
dHash
|
4b67797b787e6c5c |
|
VISUAL
wHash
|
8701011f1fbf0f8f |
|
VISUAL
colorHash
|
07000000000 |
|
VISUAL
cropResistant
|
4b67797b787e6c5c |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.