Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T185132BE2461095BD928BABDDFF335F14331B90A9FEB34759C1F587A909A3D90DD18804 |
|
CONTENT
ssdeep
|
768:xtlm94toqp2Ud3aibqgUD8oqp2Ud3ai50Xw/qMY0js50O0gBq0OMTc5PxozRDU2G:xSwoTUagFoTUP/qMY0js50O0gBq0OMTa |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3e619c639cc18c7 |
|
VISUAL
aHash
|
ffe7e7e7e7e7ff8b |
|
VISUAL
dHash
|
884d0c4d0c0c0832 |
|
VISUAL
wHash
|
00e7e7e7e7e78080 |
|
VISUAL
colorHash
|
070000000c0 |
|
VISUAL
cropResistant
|
884d0c4d0c0c0832 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)