Security Scan Report: abcp.ru

Redirected to:
https://www.abcp.ru/
Site favicon
Submitted: Completed: publiccompleted
This website contacted 10 IPs in 3 countries across 14 domains to perform 149 HTTP transactions. The main domain is abcp.ru and was registered 19 years ago.

Submitted URL: https://abcp.ru

Effective URL:
https://www.abcp.ru/
Redirected

AI Security Verdict

Safe Website

Confidence: 88%

1
Risk Score

Established 19-year-old Russian auto-parts e-commerce platform (ABCP/NodaSoft) with matching self-branding, standard contact forms only, no credential or payment fields, and no threat-intel, hunting rule or exfiltration signals. The 20 IDS alerts are INFO-level DDoS-Guard heuristics, not evidence of malicious content.

Safety Factors (6)
19-year-old domain on standard hosting
Content is the site's own brand (ABCP platform for auto-parts retailers), consistent with the domain
No credential-harvesting or payment capture: 0 password and 0 payment fields; forms are lead-generation with visible privacy-consent notice
No threat-intelligence, hunting rule, kit-roster, or JS-behavioral findings
Physical address and phone number (+7 495 145-34-10) published; Russian privacy/consent policies linked
ML classifier categories are benign (technology software / e-commerce)
Domain age information unavailable

Details

Page Title

Платформа №1 для интернет-магазинов автозапчастей

Scan Type

public

Domain Name Analysis

The domain 'abcp.ru' uses the Russian country-code top-level domain (.ru) while skipping any subdomain. Its registrable label 'abcp' stretches across 4 characters containing one vowel alongside three consonants. It segments into two words: abc, p. Average segment length settles at two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://abcp.ru

Page Load Overview

6.01s
Total Load Time
23.2 MB
Total Size

Language Analysis

Primary Language

🇷🇺Russian
Code: ru
Confidence:80%
Script:Cyrillic
Direction:ltr

Detection Details

HTML Lang Attribute:ru
Text Length:4,020 chars
Detector Agreement:80%

Website Classification

Primary Category

technology software96% confidence
Type: spa
Method: ml+structural

All Detected Categories

technology software
96%
e-commerce shopping
96%
government public service
71%
documentation technical
53%
corporate business
51%

Detected Features

Comments
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2391.215.43.29Russia
AS57724Ddos-guard Ltd
1487.250.250.119Yandex · CLOUDRussia
AS13238YANDEX LLC
1484.201.151.229Russia
AS200350Yandex.Cloud LLC
14142.251.14.97Google · CDNUnited States
AS15169Google LLC
1446.102.104.4Netherlands
AS202614Kinescope B.V.
14188.127.248.178Moscow, Moscow, Russia
AS56694LLC Smart Ape
1477.88.21.119Yandex · CLOUDMoscow, Moscow, Russia
AS13238YANDEX LLC
1487.250.251.119Yandex · CLOUDRussia
AS13238YANDEX LLC
1446.102.104.52Netherlands
AS202614Kinescope B.V.
14193.238.46.58Russia
AS212236Kinescope LLC
14910--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T143F32CE172D8057E5002A3E9E621B46C349B18BAFE12C561F3FE0E257FE285CCD79586

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:xpzfhNUMyvlT0qvKe9Uyrmg2AULSAHsqA3RZraKF0qhm7x0rCM29nW2hY/xb7Art:xpzfXwvlT0qi5X9nW2hYZBnA+mLcG4Wt

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:163351:BDCQQBACjw0ASOgYIEYKy4U4JD6ASCKhTEJlMBABGIERSQKg5jERgDswRQBGGgwjBrBEIGAkAQloAIAsBDw5CJLKMkCMlZcL

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Image Hashes

Perceptual Hashes

Average Hash:ff000001f9b8ffff
Perceptual Hash:eb3e95c890b54bd0
Difference Hash:a64d495da969614a
Wavelet Hash:ff000000f8b0ffff
Color Hash:N/A

Scan History

Scan history not available

Unable to load historical scan data