Safe
Published e-book with zero malicious detections across 65 antivirus engines and no external intelligence hits.
522699625a92635c50…a26a60ac35The verdict, reasoned out.
Not a rules engine. The MT AI Engine reads every signal we collected, weighs them against history, and commits to an answer.
The file is an unsigned EPUB e-book, which is the expected format for published commercial books. Zero of 65 reporting engines detected malware, including 18 high-trust vendors (Avast, BitDefender, ESET-NOD32, Kaspersky, McAfee, Fortinet, and others). No tier-1 family consensus exists because no tier-1 engine flagged it. External intelligence sources (CIRCL, YARA, MalwareBazaar) returned no hits. The filename is a legitimate ISBN-tagged book title with no injection phrases or spoofing. Prevalence data (4 submitters, 5 submissions) is consistent with a published book distributed through multiple channels. No sandbox data is available because e-books are not executable.
Each signal cites a concrete token from the evidence the arbiter saw — engine name, MITRE technique, signer string, or an exact count.
engines.tier1Malicious=0; tier1ReportedClean=18 (Avast, BitDefender, ESET-NOD32, Kaspersky, McAfee, Fortinet, Ikarus, GData, Emsisoft, Avira, DrWeb, F-Secure all report undetected)
engines.malicious=0/65 reporting; no malicious labels in allMaliciousLabels[]
fileType='E-book' (EPUB); unsigned status expected for published commercial content
prevalence.classification='medium' (4 submitters, 5 submissions); consistent with legitimate book distribution
externalIntel: circl.hit=false, yaraify.ruleCount=0, malwareBazaar.hit=false
- Zero malicious detections across 65 antivirus engines
- 18 tier-1 vendors (Avast, BitDefender, ESET-NOD32, Kaspersky, McAfee, Fortinet, Ikarus, GData, Emsisoft, Avira, DrWeb, F-Secure) all report clean
- No external threat intelligence hits (CIRCL, YARA, MalwareBazaar)
- Legitimate ISBN-tagged filename with no adversarial signals
- Medium prevalence consistent with published book distribution
This file is safe. It is a legitimate published e-book with no malicious indicators across our entire antivirus network and external threat intelligence sources.
0 detections across 76 engines
How often this file shows up in the wild
Moderate prevalence — neither rare nor common. No strong prior applies.
Forensic fingerprint
- File name
- Mapmatics_ How We Navigate the World Through Numbers -- Paulina Rowińska -- PT, 2024 -- Picador -- isbn13 9781035007042 -- 8d9f7b9298232923891c76e629be0873 .epub
- Size
- 10.87 MB
- MIME type
- (unknown)
- Detected type
- E-book
- SHA-256
- 522699625a92635c50a93633e865898d65f51358c69fe16372dcdea26a60ac35
- MD5
- 8d9f7b9298232923891c76e629be0873
- SHA-1
- 4efc77947443184229adbedbe4d41512fa3db85a
- First seen (VT)
- 6/9/2024, 11:11:19 AM
- Last analysis (VT)
- 6/9/2024, 11:11:19 AM
- First scan (MalwareTips)
- 7/2/2026, 3:02:04 PM
- Last scan (MalwareTips)
- 7/2/2026, 3:02:04 PM
Reviews & malware reports(0)
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