Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1512141603044881A2A12A6D2E9D1F359B89B471FDB431890A3FB87EDC2F886AC43D659 |
|
CONTENT
ssdeep
|
24:hphG+CzN/+TN/0ADeqcZcyiSI6XGENVMyFNl0J7xgg:LANmTNMK0cCh1JFgJig |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
88097337c9c9dc67 |
|
VISUAL
aHash
|
0000181818180000 |
|
VISUAL
dHash
|
f3cdb2b2b2b2ccf0 |
|
VISUAL
wHash
|
000018191f3fffff |
|
VISUAL
colorHash
|
08000000038 |
|
VISUAL
cropResistant
|
cc8e96cce2b233a2,f3cdb2b2b2b2ccf0 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.