Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T190918A315205146F41738DD0F6D0F71A469EC749DB0B8E5AB1DD07F62BCADB8C962368 |
|
CONTENT
ssdeep
|
48:TGKucvylIjTNmTNMKc8a2UWSTCWMMOArcN2taS9kMQMnMUVc/cNhe4S64In7K:TGr6sFa2FSTCWMMOAAGk8skPe4S646u |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
88666799996666d9 |
|
VISUAL
aHash
|
0000001818180000 |
|
VISUAL
dHash
|
fffbd7b2b2b2cff3 |
|
VISUAL
wHash
|
01031b1f1f1f1f1f |
|
VISUAL
colorHash
|
000000001c0 |
|
VISUAL
cropResistant
|
cc6e6269e0457171,fffbd7b2b2b2cff3 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.