Malware Insights
The PDF contains a large number of embedded links, many pointing to external PDFs, a technique often used for SEO poisoning to manipulate search engine results. One critical heuristic identified a link to a known malicious redirector infrastructure at 'https://ttraff.ru/pify?keyword=waste+water+treatment+plant+project+pdf'. The document body, though heavily corrupted, contains fragments of this URL and the phrase 'waste water treatment plant project pdf', suggesting a lure to disguise the malicious intent. The ML classifier also strongly indicated maliciousness.
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.ru/pify?keyword=waste+water+treatment+plant+project+pdf In PDF document text
- http://vibimu.ssixenterprises.com/uploads/1/3/0/7/130775971/losowasin-digaver.pdfIn PDF document text
- http://files.truthtree.co.uk/uploads/1/3/0/8/130814715/b01f471.pdfIn PDF document text
- http://files.clarevet.com/uploads/1/3/0/7/130738814/6baf8b64a8319.pdfIn PDF document text
- http://files.brensuelabs.com/uploads/1/3/0/7/130775174/loguvuzokaru_wenitukun_kebiwanewu_zukafigatut.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/1/0431/8845/3533/files/manakitezukulifuxiso.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/9835/8432/files/98559129476.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0427/9782/6207/files/75449960936.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/6880/1695/files/78857010617.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0429/5095/1066/files/fosifepiwovusiza.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0429/9161/6153/files/sample_welcome_speech_in_tamil_language.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/0305/1171/files/kajakasizumeguvudiwoju.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/6014/9910/files/sisakijalabedobalox.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/2980/6759/files/napemu.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/5567/6580/files/capitaes_do_brasil_eduardo_bueno.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/4456/8216/files/productimages___ff_-_f3274e3608c2a2_full._jpg.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/7016/0032/files/58741255111.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/5743/1196/files/life_in_a_northern_town_lyrics.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_off00007790.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x7790 | 5480 bytes |
SHA-256: 6115ebf49b3016a762c398e1aae972dd0e2303f6f0250adb78afc1b99827e252 |
|||
font_01_sfnt_off00008a37.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x8A37 | 10400 bytes |
SHA-256: 55765c75ef5825d4f1bde99d3ace2f18b373f2493525ecec72c7d9581b7a8739 |
|||
Open this report in the interactive analyzer, or submit your own file for analysis.