PDF malware analysis — malicious · bf12b722be347d17

MALICIOUS

PDF

84.6 KB Created: 2020-12-04 03:33:51 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-10-31

MD5: 1c096852424fc9140552eed98e977c1e SHA-1: 31f3667b5c22ce2a86018d9812a3ab0153973a8b SHA-256: bf12b722be347d17fa1f34b7cb539320466c482d7c421cf7f0603b5b90192e70

214 Risk Score

Malware Insights

MITRE ATT&CK

T1566.001 Spearphishing Attachment T1059.007 JavaScript

The PDF contains multiple embedded links, with one specifically identified as a known malicious redirector. The ML classifier and ClamAV detection strongly indicate malicious intent. The presence of numerous external PDF links suggests a link farm or redirection strategy to obscure the ultimate destination.

Machine Learning

Nyx PDF Classifier malicious score 0.9145

Heuristics 5

ClamAV: Pdf.Phishing.Trojan-d2568dad23a94d95-d2568dad23a94d95-10044375-0 critical CLAMAV_DETECTION

ClamAV detected this file as malware: Pdf.Phishing.Trojan-d2568dad23a94d95-d2568dad23a94d95-10044375-0
PDF links to known malicious redirector infrastructure critical PDF_MALICIOUS_REDIRECTOR_LINK

PDF contains a clickable URI to redirector infrastructure used by a known malicious PDF SEO/adware delivery campaign. These documents typically rely on user interaction and redirect chains rather than a PDF parser vulnerability.
Small PDF contains mass external PDF link farm critical PDF_SEO_LINK_FARM

Small PDF contains many clickable external PDF links, mostly clustered on one host. This matches generated SEO/link-farm PDF carriers used to route users into malicious or unwanted-software delivery chains, rather than a normal document citation pattern.
PDF differential parser failed info PDF_DIFFERENTIAL_PARSE_FAILED

The cross-check parser (pdfminer.six) failed on this file: PDF differential parser failed: PDFSyntaxError. Static heuristics still ran and any of their findings above are valid; only the differential cross-check signal is missing.
Embedded URL info EMBEDDED_URL

One or more URLs were extracted from the document. The URL itself is not a detection — see the per-URL labels for which channel (macro, JS, link annotation, document body, ...) reached each URL.
URL https://traffking.ru/aws?utm_term=abba+dancing+queen++musicpleer In PDF document text
- https://cdn-cms.f-static.net/uploads/4385631/normal_5f9e412bea453.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4420238/normal_5f9fda22df164.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4386337/normal_5f93a4444e186.pdfIn PDF document text
- https://bigonokefexix.weebly.com/uploads/1/3/4/5/134518339/1cbdb304d4d2a2.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4468294/normal_5fae159a5d7ae.pdfIn PDF document text
- http://www.ascendercorp.com/In PDF document text
- http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
- https://s3.amazonaws.com/subud/58628624179.pdfIn PDF document text
- https://s3.amazonaws.com/vonusirukete/bathymetric_lake_mapping.pdfIn PDF document text
- https://s3.amazonaws.com/roware/41482146050.pdfIn PDF document text
- https://s3.amazonaws.com/fupanabivote/barcode_generator_free.pdfIn PDF document text
- https://s3.amazonaws.com/kezemiradigu/magellan_sportrak_pro_user_manual.pdfIn PDF document text
- https://s3.amazonaws.com/xanebavifamopez/xofuvodapumojir.pdfIn PDF document text
- https://s3.amazonaws.com/salade/kemarowigogi.pdfIn PDF document text
- http://scripts.sil.org/OFLIn PDF document text

Extracted artifacts 2

Files carved from inside the sample during analysis.

Filename	Kind	Source	Size
`font_00_sfnt_off00011461.bin`	pdf-font-stream	PDF embedded font (sfnt) at offset 0x11461	5648 bytes
SHA-256: `e21286308ac265f8724181583c98829aa7b3ca84a6f9a11fc633cafbe2d5ec9b`
`font_01_sfnt_off0001276d.bin`	pdf-font-stream	PDF embedded font (sfnt) at offset 0x1276D	12940 bytes
SHA-256: `40d56ca6e1c7cd57b35825057ba127b72b2a31777bc40ddf0e960617504df6cc`

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