Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B6C28331A151ED3780ABE6E5F3A4932B23D2D386CA43134542FCC3BE4BE6D90ED26655 |
|
CONTENT
ssdeep
|
384:+AxswXqK1lXDMSSkZsJmbpwtpGGlcLF+dZhYQ:9x3XqKzumbqtp1lUF+zhr |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9c0a45c35cab3dba |
|
VISUAL
aHash
|
38108e88bcffff9e |
|
VISUAL
dHash
|
c1b0383a2002993c |
|
VISUAL
wHash
|
00008c88fcffff9e |
|
VISUAL
colorHash
|
07002000180 |
|
VISUAL
cropResistant
|
c1b0383a2002993c |
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 35 techniques to evade detection by security scanners and make reverse engineering more difficult.