Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F3426233B100CD298EAB55CCF2C49589521ED345FB7148C6B16091BF7BC8DF169A93AD |
|
CONTENT
ssdeep
|
192:Pu3JKYcLKczch3CtmEzK+gol0xwwjMcnthWeNWb7ymfMmUU8VCoEh:CcLKczch3CtmEzKMRwKymfMmUFCoEh |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b8386d6a78383c6e |
|
VISUAL
aHash
|
81ff878fe7ffffff |
|
VISUAL
dHash
|
33003f1c0c0c0000 |
|
VISUAL
wHash
|
81070303e4e4fdfc |
|
VISUAL
colorHash
|
07007000000 |
|
VISUAL
cropResistant
|
33003f1c0c0c0000,0080000121210180 |
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.