Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14FA3D0234159752B4437C3D0306A5B3BD5A6999FFEE70A004EDCCBF62BF9CA0745A129 |
|
CONTENT
ssdeep
|
768:fM359itpR4nXF6YjOpSpFlTC6rrWa3SZGEZfuy/cXQq1Ry2ng:U9itpR4nXBKpSpFl26v7SZGEZfkHHDng |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
936d6d13136c6d64 |
|
VISUAL
aHash
|
001f013f7e2f0183 |
|
VISUAL
dHash
|
ddbd67dcdcdcbb67 |
|
VISUAL
wHash
|
000f037f7f1f058f |
|
VISUAL
colorHash
|
00003400400 |
|
VISUAL
cropResistant
|
f96bd59898794bef,ddbd67dcdcdcbb67,536bcd6b63cc5555,472103170e3c3424,cc110c32320c0121 |
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 115 techniques to evade detection by security scanners and make reverse engineering more difficult.