Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T111A36833411975274437C6D530A55B3BD2A6DA4FFAA70A010EECD7EB2BFACA0744B11A |
|
CONTENT
ssdeep
|
1536:5yemtLz4NP/y9svbliCd0k+FtiuCa28y2O9:cmA7c |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bcc2c738c33c966c |
|
VISUAL
aHash
|
ff7e9e8f8f8f83fb |
|
VISUAL
dHash
|
f2f83434343437b2 |
|
VISUAL
wHash
|
3f1c1c828e8f81fe |
|
VISUAL
colorHash
|
07000e00010 |
|
VISUAL
cropResistant
|
f2f83434343437b2,d4f5a5d595a5949a,4a92e3e7d7933325,ca62333122333a2a,696ec6eaeac6a636 |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.