Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EBF12FF1E040ED37435386CAA7BAAB0BB691C349CF071A4163F8839B5FDAC60CE15599 |
|
CONTENT
ssdeep
|
192:QNSPRnbzDJ1bc1Zt8iIGwa3g7c3fiCzcdw:QNSPxNdSn1Zwug74fGdw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e4b21acc0f9bb938 |
|
VISUAL
aHash
|
ffffffffffff0000 |
|
VISUAL
dHash
|
22061e0e66040804 |
|
VISUAL
wHash
|
9fc7c3e3f3f30000 |
|
VISUAL
colorHash
|
07000600180 |
|
VISUAL
cropResistant
|
2006061e06060608,0000000000000000 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.