Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T195B3FE23415976274437C3C1306A5B3BD1A6998FFEE70A014EDCCBF62AFACA0746A15D |
|
CONTENT
ssdeep
|
768:fv3MptpR4nXF6YjOpSpFlTC6rrWSXFJvUp84mGWUIR0dUz:8ptpR4nXBKpSpFl26vxvY84mFUIR0yz |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d2ec6d7a92926d30 |
|
VISUAL
aHash
|
f0f0f4eeee000000 |
|
VISUAL
dHash
|
01030ccccc093839 |
|
VISUAL
wHash
|
f8f0fefefe800400 |
|
VISUAL
colorHash
|
180000001c0 |
|
VISUAL
cropResistant
|
1012202040000103,820080d0c08000e8,8000806060e08080,8080806060800080,80808080a0800080,01030ccccc093839 |
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 113 techniques to evade detection by security scanners and make reverse engineering more difficult.