Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AC026430A400942B530B5EC4B6A1A71D516BD31ACB0708D8B5E867F19FDEDBECC3619A |
|
CONTENT
ssdeep
|
96:nKsx7dtuFK9dnq+c41p6acLT0eYS6uIemw1bhD151PCoTKRveeOaz/:Ksx7dsFK9dRakS6UVzDHpPTKRXP |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e7674c4c66664559 |
|
VISUAL
aHash
|
00ffe7e7ffffffff |
|
VISUAL
dHash
|
4c080c0c00080000 |
|
VISUAL
wHash
|
006666667e7eff00 |
|
VISUAL
colorHash
|
07000038000 |
|
VISUAL
cropResistant
|
4c080c0c00080000 |
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.