Security Scan Report: api-int.fmaas-devstage-backend.fmaas.res.ibm.com

Redirected to: https://bookstation.org/book/the-heartbreaking-truth-about-gretchen-wilsons-health-4984706

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Submitted: Nov 3, 2025, 3:26:40 AMCompleted: Nov 3, 2025, 3:28:04 AMpubliccompleted
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Summary

This website contacted 65 IPs in 4 countries across 14 domains to perform 39 HTTP transactions. The main domain is bookstation.org and was registered NaN years ago.

Submitted URL: https://api-int.fmaas-devstage-backend.fmaas.res.ibm.com/book-search/YJoKzq/270003/the-heartbreaking-truth_about-gretchen-wilsons-health.pdf

Effective URL: https://bookstation.org/book/the-heartbreaking-truth-about-gretchen-wilsons-health-4984706Redirected

AI Security Verdict

Low Risk

Confidence: 78%

2
Risk Score

New, unranked site offering free eBook; no malicious signs but caution advised.

Risk Factors
Newly registered domain (<90 days)
Unranked domain (not in Cisco Umbrella top 1M)
Safety Factors
No malicious Indicators of Compromise detected
No forms collecting passwords or payment information
Free content without monetary transaction
Domain age information unavailable

Details

Page Title

The Heartbreaking Truth About Gretchen Wilsons Health

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

download file sharing

(92%)

Domain Information

The domain 'api-int.fmaas-devstage-backend.fmaas.res.ibm.com' uses the commercial generic top-level domain (.com) with subdomain 'api-int.fmaas-devstage-backend.fmaas.res'. The core label 'ibm' covers 3 characters containing 1 vowel alongside two consonants. Breaking it apart gives one word: ibm. 'ibm' most strongly signals Sinhala. You may catch it in Catalan and Bulgarian as well.

Screenshot

Security scan screenshot of https://api-int.fmaas-devstage-backend.fmaas.res.ibm.com/book-search/YJoKzq/270003/the-heartbreaking-truth_about-gretchen-wilsons-health.pdf

Page Load Overview

30.19s
Total Load Time
39
HTTP Requests
14
Domains
738 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:4,266 chars
Detector Agreement:100%

Website Classification

Primary Category

download file sharing92% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

download file sharing
92%
healthcare medical
84%
technology software
78%
government public service
75%
adult content
73%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
39104.21.95.216United States
AS13335CLOUDFLARENET
087.250.250.119Russia
AS13238YANDEX LLC
0142.250.185.104United States
AS15169GOOGLE
0104.17.24.14United States
AS13335CLOUDFLARENET
0149.56.240.27Montreal, Quebec, Canada
AS16276OVH SAS
0142.250.186.67United States
AS15169GOOGLE
0149.56.240.31Montreal, Quebec, Canada
AS16276OVH SAS
0172.67.148.168United States
AS13335CLOUDFLARENET
0192.241.64.7Buffalo, New York, United States
AS55286SERVER-MANIA
079.127.216.203Frankfurt am Main, Hesse, Germany
AS60068Datacamp Limited
3965--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T112D20A5A9E932406740354687BB69782A3ADD803C70ECDF97FAD6154DF8E9C48C632DC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:EMwNFeliFCKgmF2+FbFPUxuFvFwBov3YsvKBFk9WrtTFDL4XAB9WSeuJ+R+uOgN8:EFNMli4KgmM+BFUxu9xvBvKB69WrtT0Q

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:28870:TCQsXID1QJkwZjKhCFlHkgCkIEwAASJPkQYHUgEsqUbjAggJTgABCgIAJMAZIPqElJAAscMeUJgYUD4C7oMiYV5kIhm6iggF

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:3c3c1c3c3c3c3c3c
Perceptual Hash:9b30c7c667319939
Difference Hash:6979f97969696969
Wavelet Hash:3c3c3c3c3c3c3c3c
Color Hash:#ae87c5

Scan History

Scan history not available

Unable to load historical scan data