Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T126A3FE234269352B4437C3C0347A6B3BD1A6998BFAE709414EDDCBFB2AF9C90741A51D |
|
CONTENT
ssdeep
|
768:XuztpR4nXF6YjOpSpFlTC6rrWM8oLWHFwu5PRieOu:0tpR4nXBKpSpFl26vYlwwPyu |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
92136d03d3176f2d |
|
VISUAL
aHash
|
001f0f3e2e0f01ff |
|
VISUAL
dHash
|
dcbf7cdcdcbcb700 |
|
VISUAL
wHash
|
00070f3f3f0f01ff |
|
VISUAL
colorHash
|
00003400400 |
|
VISUAL
cropResistant
|
fd377cdcdcbdf700,dcbf3ddcdcdcbb77,991135a3ac66c6d2,4e8f934943464e5a,68000032320c11d4 |
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 113 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)