MALICIOUS
194
Risk Score
Malware Insights
MITRE ATT&CK
T1566.002 Spearphishing Attachment
T1059.001 PowerShell
The PDF contains a significant number of embedded URLs, with a critical heuristic firing indicating a link farm pointing to known malicious redirector infrastructure. The ML classifier also strongly flagged this PDF as malicious. The presence of numerous Shopify-hosted PDF links suggests an attempt to create a large, distributed content farm, likely for SEO manipulation or to host payloads. The primary malicious URL identified is https://ttraff.cc/pify?keyword=skb+ahmadiyah+pdf, which is a known redirector.
Machine Learning
- Nyx PDF Classifier malicious score 1.0000
Heuristics 5
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PDF links to known malicious redirector infrastructure critical PDF_MALICIOUS_REDIRECTOR_LINKPDF 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.
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Small PDF contains mass external PDF link farm critical PDF_SEO_LINK_FARMSmall 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.
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Image lure linking to an SEO redirector (free-download phishing) high PDF_SEO_UTM_REDIRECTOR_LINKPDF embeds an image with little or no body text and a clickable link to a multi-word utm_term / FeedBurner-proxied SEO redirector — the 'free ebook / solution-manual / document download' phishing family that ranks for natural-language search queries and routes the user into a payload/redirect chain. The PDF carries no exploit; the risk is the linked destination. Flagged structurally (image lure + SEO redirector) so it does not depend on a ClamAV/ML signature, and regardless of how many filler text pages the lure carries.
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Object number defined twice with different bodies info PDF_DUPLICATE_OBJ_BODY_INCREMENTALThe same indirect object (N G) is defined more than once with different body bytes. First-wins and last-wins readers will resolve different content, which is a parser-confusion shape used by targeted PDFs. Body-only differences are common in benign incremental updates, so severity is raised only when the duplicate carries active content.
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Embedded URL info EMBEDDED_URLOne 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://ttraff.cc/pify?keyword=skb+ahmadiyah+pdf In PDF document text
- http://files.cockatooparkmorgans.com/uploads/1/3/1/1/131163564/904fc7aae6d6ad.pdfIn PDF document text
- http://files.jamminforjaclyn.org/uploads/1/3/2/3/132303382/vakokupepufuzedivu.pdfIn PDF document text
- http://funubipik.clearfieldcreekwatershed.org/uploads/1/3/0/8/130813420/d9b06.pdfIn PDF document text
- http://www.ascendercorp.com/In PDF document text
- http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
- https://cdn.shopify.com/s/files/1/0427/7387/2807/files/python_string_replace_regex.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0438/0193/6033/files/vipizunolixafadi.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/9232/8104/files/paforamubejotunaxunipidut.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0437/4586/9985/files/fefumodudifi.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/3123/1644/files/52759771651.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/9835/8432/files/42778697636.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0436/0588/5090/files/zerezawol.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0436/9183/5547/files/65891807415.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0439/8225/8334/files/84799973185.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0439/9906/8310/files/vulesusitorezajetageg.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0427/6482/8838/files/kurafuvemobaxun.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/3521/4503/files/morgan_clinical_anesthesia.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0430/0147/9321/files/vofekewiredekowozarufag.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/7066/0508/files/bukikedajotedekukafabe.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0437/7827/7525/files/git_pull_set_upstream.pdfIn PDF document text
- http://www.w3.org/1999/02/22-rdf-syntax-ns#In PDF document text
- http://purl.org/dc/elements/1.1/In PDF document text
- http://ns.adobe.com/pdf/1.3/In PDF document text
- http://ns.adobe.com/xap/1.0/In PDF document text
- http://ns.adobe.com/xap/1.0/mm/In PDF document text
- http://ns.adobe.com/xap/1.0/rights/In 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_off0000641f.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x641F | 5384 bytes |
SHA-256: f8118aacf03c29abc8814b61c7d4656b66365b4d37008bf56c7bb716ed5af992 |
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font_01_sfnt_off0000765b.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x765B | 9796 bytes |
SHA-256: a8fb44cd1c222eeba13424d5e53dd196ad3e96cae88a132276265b743b9679fe |
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