MALICIOUS
194
Risk Score
Malware Insights
MITRE ATT&CK
T1566.002 Spearphishing Attachment
T1059.001 PowerShell
The PDF contains a heuristic firing for a malicious redirector link, specifically pointing to 'https://ttraff.cc/pify?keyword=apprendre+%25C3%25A0+parler+portugais+pdf'. This URL is likely used to redirect the user to a malicious site. The document also contains a large number of external PDF links, many hosted on shopify.com, suggesting a link farm or SEO poisoning tactic to attract victims. No scripts were extracted from this sample.
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=apprendre+%25C3%25A0+parler+portugais+pdf In PDF document text
- http://files.hannanicholeart.com/uploads/1/3/0/7/130738960/6653945.pdfIn PDF document text
- http://fevetij.simplyminttobe.com/uploads/1/3/2/8/132815028/66e4738.pdfIn PDF document text
- http://www.ascendercorp.com/In PDF document text
- http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
- http://www.daltonmaag.com/In PDF document text
- https://cdn.shopify.com/s/files/1/0430/9434/3834/files/chandni_bar_full_movie_free_480p.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0437/7149/4554/files/92838162319.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0437/6811/9445/files/76735245120.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/1620/9059/files/gojorisojewenaxibimonoji.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/7152/8344/files/48839730420.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/4828/8935/files/bcs_theory_of_superconductivity_nptel.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/6660/5211/files/nojakitu.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/0096/2967/files/83160774518.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/1684/6488/files/chat_room_free_apps.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0438/9847/0552/files/ignou_ba_public_administration_books.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0436/3301/6982/files/64464800834.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/9835/8432/files/70278744099.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/9229/6358/files/lopibujazalutu.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/7651/7014/files/3990559013.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 3
Files carved from inside the sample during analysis.
| Filename | Kind | Source | Size |
|---|---|---|---|
font_00_sfnt_off00005f2f.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x5F2F | 5316 bytes |
SHA-256: b91499e333589da5f51178a22f8ae65e45afbfee4ef4dc72764cd0a8e344de2a |
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font_01_sfnt_off000070bc.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x70BC | 11836 bytes |
SHA-256: ec33ccdb80b887bd3a92d7cbcdebc148133153f5f4260ee1732f337e5a860cbe |
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font_02_sfnt_off000095a5.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x95A5 | 4324 bytes |
SHA-256: 0d0f64e27578eb124b8bc81c7eceacdd166e22eddd95c81328e9fbd7de2a6333 |
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