Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AF820F72A24189770197E3D6F275E72FB6C2C389CA8307D2A2F8D35D5BC6CA6DD12244 |
|
CONTENT
ssdeep
|
384:28kyUgfzBA/5GNGMyeroBQVwTp59PHGXoqjyZ:hUgfzi/5GNGMdEBQVGSoqjU |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b36699998c996633 |
|
VISUAL
aHash
|
ffe7e7e7e7e7e7e7 |
|
VISUAL
dHash
|
100c0c0c0c0c0c0c |
|
VISUAL
wHash
|
3f27272703030303 |
|
VISUAL
colorHash
|
07000008003 |
|
VISUAL
cropResistant
|
100c0c0c0c0c0c0c |
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 31 techniques to evade detection by security scanners and make reverse engineering more difficult.