Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17B223E73F600CD2A899B86CCF6C09689511DC349FB3148CAB1A491BF7BC4DF0A59979D |
|
CONTENT
ssdeep
|
192:zp3Jgdzd6uEJ3xTRbJx9McnthWeNWbnfMmUU8VCoc:0zdxURWfMmUFCoc |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8707fcfc0703d98c |
|
VISUAL
aHash
|
37373f2f3fffffff |
|
VISUAL
dHash
|
eeeef8c8e0004000 |
|
VISUAL
wHash
|
00000c003fffffff |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
eeeef8c8e0004000,f382b4b6b6a482f3,083671719620082a |
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.