Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E5127173E600CE2A4D9B56C8F1C095884519C386FB3108CBB26491FF7BC5DF4A9A97AD |
|
CONTENT
ssdeep
|
192:gdePuN9sT3TfVZUlxjMcnthWeNWbnfMmUU8VConS:0eWDOjfjjfMmUFCoS |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d652a9ad250fad25 |
|
VISUAL
aHash
|
20f47c34f4ffffff |
|
VISUAL
dHash
|
c589486c6c002000 |
|
VISUAL
wHash
|
20e02000e0ffffff |
|
VISUAL
colorHash
|
07002000040 |
|
VISUAL
cropResistant
|
c589486c6c002000,b63bc3c7e61c3cb4 |
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.