Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T167D144E1C014EC3A475386D9B7F56B5B7692C349CB02098453F843BB9BCEC60CB265AA |
|
CONTENT
ssdeep
|
96:TkatmZzH0LKSTPKiE3EtmMtLwvFee1XLHFdTIe26XSX/EcSTu1JR:QatmZzH0LHWiE3EYMt2ZLr2VX8V61r |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9e61e19bc31ec3c1 |
|
VISUAL
aHash
|
0f0f0f1f1f1f1f1f |
|
VISUAL
dHash
|
7ede3e3e3a3a3a3a |
|
VISUAL
wHash
|
0f0f0f0f0f0f0f0f |
|
VISUAL
colorHash
|
07000000030 |
|
VISUAL
cropResistant
|
7ede3e3e3a3a3a3a,99d96262d9996c96,0196eaf2e8947801 |
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.