MALICIOUS
194
Risk Score
Malware Insights
MITRE ATT&CK
T1566.002 Spearphishing Attachment
T1204.002 Malicious Link
The PDF was flagged as malicious by a machine learning classifier and contains numerous embedded links. One critical heuristic identified a link to known malicious redirector infrastructure, and another noted a large PDF link farm, suggesting a tactic to manipulate search engine results or distribute further malware. The document body is heavily obfuscated and appears to be generated content rather than user-readable text.
Machine Learning
- Nyx PDF Classifier malicious score 1.0000
Heuristics 5
-
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.
-
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.
-
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.
-
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.
-
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.club/wix?keyword=h%2526r+block+coupons+2020 In PDF document text
- http://files.inolytix.com/uploads/1/3/1/3/131380539/f2c6b3aa.pdfIn PDF document text
- http://files.cutsbyvantilburg.com/uploads/1/3/0/8/130874204/e953d7af1f.pdfIn PDF document text
- http://files.pamelatraynor.com/uploads/1/3/1/4/131406498/rivawap.pdfIn PDF document text
- http://files.armstrongfamilylaw.com/uploads/1/3/0/7/130740264/daluwo_xarugawive.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://91ea5430-bbe0-4f48-8b45-e19c9076f95b.filesusr.com/ugd/bfbc46_d5177f44508d4b18b0b1a10a2b0486e9.pdf?index=trueIn PDF document text
- https://fe5d0dee-2d02-44d6-9c2e-9c43774ec9d9.filesusr.com/ugd/3b0c81_11dc47eaafcc486cbd6157b42c83c75c.pdf?index=trueIn PDF document text
- https://d992dad3-3c44-4073-8b6a-1f77b28b4c93.filesusr.com/ugd/3d7af5_759a7ccf792c4eeda552485f98070532.pdf?index=trueIn PDF document text
- https://7a1d8b4d-70bb-4841-acbb-8c0036f8d916.filesusr.com/ugd/cdfdba_d34cac039e9a4bfaa3c4a95054bd06a7.pdf?index=trueIn PDF document text
- https://cdn.shopify.com/s/files/1/0464/6620/3806/files/todaxofusotusake.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0429/0209/3987/files/fezobemeg.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0438/4522/2557/files/d_d_trap_generator.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0435/6187/7665/files/94309203686.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/7000/5156/files/useful_business_english_phrases_email.pdfIn PDF document text
- https://43d11e90-c24d-4fcd-aa63-c1d3ca3f6431.filesusr.com/ugd/963627_bf57ed6117f04b4e8f4e57fbfbcf71c3.pdf?index=trueIn PDF document text
- https://6b631b1f-615c-4b1d-adc2-e2312413a2cc.filesusr.com/ugd/ade4e6_a5191c34db0e4774bc238cf630a71e6d.pdf?index=trueIn PDF document text
- https://b6f15398-a6b0-423b-b68b-83d6f748fe2b.filesusr.com/ugd/d6af85_91a0bde36bbe49199cd920cf6664603b.pdf?index=trueIn 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_off000077f0.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x77F0 | 3444 bytes |
SHA-256: 98d35e6f710d92594ea3438f0a350a0cbec016ca1ea10022b16c1d925463b79f |
|||
font_01_sfnt_off00008324.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x8324 | 10684 bytes |
SHA-256: 847e131610b830af8054ab728779f722bbac8125f457d65c8053f4718b4acd84 |
|||
font_02_sfnt_off0000a7dc.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0xA7DC | 4324 bytes |
SHA-256: 4fcfa7c68d76e23b667942a3ac892d2d5d88346478daafc61479ad4df4af3dd3 |
|||
Open this report in the interactive analyzer, or submit your own file for analysis.