Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12F235B726732B8A843DB91EEA7382D56B2D2489DF8C74450F5C95ACD23C3C816297BF4 |
|
CONTENT
ssdeep
|
768:at+EsZx8/G8S46Daw9MjB1Mw3MjB1lwZCN2/y9dGDTDiJE56ITmH+LCBlvNPqDvF:at+EsZ/8l6Daw9MjB+w3MjB3wcN2/y9M |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
be3f2bc0c094e16b |
|
VISUAL
aHash
|
810081ffffffffff |
|
VISUAL
dHash
|
5571693633332933 |
|
VISUAL
wHash
|
000000df83effff7 |
|
VISUAL
colorHash
|
0f007000000 |
|
VISUAL
cropResistant
|
5571693633332933,f7cfb3b36969fbdf |
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.