Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D5234B726722B8B847DB91EEF7382D56B2D1488DF8CB4450F5C95A8E13C3C816297BB4 |
|
CONTENT
ssdeep
|
768:aH+EsZx8/G8y4yDawjMqBDwLMqBiwZCN2/y9dGDTDiJE56ITmH+LCBlvNPqDvKAZ:aH+EsZ/8FyDawjMqBDwLMqBiwcN2/y9M |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
be6b6b909491c43b |
|
VISUAL
aHash
|
000081ffffffffff |
|
VISUAL
dHash
|
697171201f35193f |
|
VISUAL
wHash
|
000000ffcfdfcfc7 |
|
VISUAL
colorHash
|
0e0060000c0 |
|
VISUAL
cropResistant
|
697171201f35193f,867969cc68323032 |
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.