PDF malware analysis — malicious · 9bbac73ac12dbff2

MALICIOUS

PDF

56.7 KB Created: 2020-10-03 03:31:39 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-05-23

MD5: c849ef9ee11bfeec32171350f8c1eada SHA-1: c0e4b5138595931bc1d9d5d3e2253a933f30a2ae SHA-256: 9bbac73ac12dbff24a4a1122aeda5872db700f4dfd4a202ebe5e788982a6071c

94 Risk Score

Malware Insights

MITRE ATT&CK

T1566.001 Spearphishing Attachment T1059.007 JavaScript

The PDF contains a heuristic firing indicating it links to known malicious redirector infrastructure. The embedded URL, 'https://gettraff.ru/strik?keyword=hymes+speaking+model', is presented in a way that suggests a search result, likely to trick the user into clicking it. The ML classifier also strongly flagged this PDF as malicious. No scripts were extracted, but the presence of a malicious URL is sufficient evidence of malicious intent.

Machine Learning

Nyx PDF Classifier malicious score 1.0000

Heuristics 3

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.
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/strik?keyword=hymes+speaking+model In PDF document text
- http://files.archikal.com/uploads/1/3/1/4/131406893/4fd6816593e1db9.pdfIn PDF document text
- http://jowedawu.gflight559.com/uploads/1/3/0/7/130776485/lolerezuwum.pdfIn PDF document text
- http://sonuvu.movingclay.com/uploads/1/3/1/8/131857114/8084337.pdfIn PDF document text
- https://site-1040097.mozfiles.com/files/1040097/57642311838.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/1/0483/0648/7460/files/58368036343.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0488/1062/3141/files/jutetekefimomifemaseliv.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0483/5511/5171/files/43150733339.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/947b839f-dd1c-4bd3-af35-eea9c628d708/vilufulipanun.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/98791f77-3d8b-4de4-b21f-dc07ea6d35b9/8385627244.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/b6f27fd2-abd1-4c00-a702-212c5ded268d/51700515146.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_off0000a1d0.bin`	pdf-font-stream	PDF embedded font (sfnt) at offset 0xA1D0	5308 bytes
SHA-256: `6f701248a460b2785c4ca0de745ead3cdd4f88f11e69b596da9cd44fda292e03`
`font_01_sfnt_off0000b3db.bin`	pdf-font-stream	PDF embedded font (sfnt) at offset 0xB3DB	10088 bytes
SHA-256: `011b735e2e11a126af4dbd7edc4b02290cc002247cd937f3ec09abba6047d5c0`

Open this report in the interactive analyzer, or submit your own file for analysis.