Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T198234BB26722B8A843DB91EEF73C2956B2D5489DF8C74510F5C95ACD23C3C816287BB4 |
|
CONTENT
ssdeep
|
768:a2+EsZx8/G8A4sDawnMcB1MwzMcB1Fr82+/9dtZkDieE565TmHEnkvdhfVPqDv3n:a2+EsZ/8jsDawnMcB+wzMcBj82+/9dty |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf7f3f3bc08080e0 |
|
VISUAL
aHash
|
000080ffffffffff |
|
VISUAL
dHash
|
7f797d001e381030 |
|
VISUAL
wHash
|
000000cfc3ffdfdf |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
7f797d001e381030,fffff3f3edfbffff |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.