Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14823D8311CC87B6F959382CCA351A71BE395C284E7BE864AF1D6835F06C5D48C93AB6C |
|
CONTENT
ssdeep
|
768:afzkdfjD/yqxIQfFy1/O/XRPPrHMPrVmtHnzn4UtMBxgf/:afzk5jDKqrfiO/XZqMtHnRMBxgf/ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9416eb4acb9a9696 |
|
VISUAL
aHash
|
fd0006060600ffff |
|
VISUAL
dHash
|
71ccccccecec3933 |
|
VISUAL
wHash
|
ff0006060606ffff |
|
VISUAL
colorHash
|
130000001c0 |
|
VISUAL
cropResistant
|
0001496161c9014a,96d6e8b284710f8e,c01034300c2d3333,dcccccccccecece8 |
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 174 techniques to evade detection by security scanners and make reverse engineering more difficult.