PDF malware analysis — malicious · dacd7a44a70e9101

MALICIOUS

PDF

39.1 KB Created: 2020-11-01 06:35:21 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-05-23

MD5: 21397be7ac141093f147838aab1e37bd SHA-1: 7d92e84374213e92780d8cc0dedc417b170f2fc8 SHA-256: dacd7a44a70e9101d4dd511508bc3ff615f6b80e0a545e60ecc29838fc2f4800

154 Risk Score

Malware Insights

MITRE ATT&CK

T1566.001 Spearphishing Attachment T1059.007 JavaScript

The PDF contains a large number of embedded links, many of which point to external resources, including a known malicious redirector. The ML classifier also strongly indicated maliciousness. The document body, though obfuscated, contains URLs that are likely part of an SEO link farm designed to drive traffic to malicious sites.

Machine Learning

Nyx PDF Classifier malicious score 0.9999

Heuristics 4

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.
Object number defined twice with different bodies info PDF_DUPLICATE_OBJ_BODY_INCREMENTAL

The 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_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://gettraff.ru/aws?keyword=introduction+to+romeo+and+juliet+powerpoint In PDF document text
- https://cdn-cms.f-static.net/uploads/4366630/normal_5f95d9648d947.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4366313/normal_5f8711623ffbd.pdfIn PDF document text
- https://suzokixuvajix.weebly.com/uploads/1/3/0/7/130776208/xevamovadi-zenipoxew-mukemaminon.pdfIn PDF document text
- https://voxapinave.weebly.com/uploads/1/3/2/7/132740917/topes.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/wilugugo/24019922430.pdfIn PDF document text
- https://s3.amazonaws.com/liwafo/dragon_ball_kai_ultimate_butouden_download_android.pdfIn PDF document text
- https://s3.amazonaws.com/donarepemi/43850740909.pdfIn PDF document text
- https://s3.amazonaws.com/lewuli/bestiario_2_pathfinder.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_off00005bfb.bin`	pdf-font-stream	PDF embedded font (sfnt) at offset 0x5BFB	5144 bytes
SHA-256: `223d9e9faab920828c1296abe1b37d29398fe807c5e202b34e43a6b22fffcbac`
`font_01_sfnt_off00006d75.bin`	pdf-font-stream	PDF embedded font (sfnt) at offset 0x6D75	10076 bytes
SHA-256: `25a942c362739a6e58916fab3e410b7a40f49097850697320aee73bee1691499`

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