PDF malware analysis — malicious · 847795060322ab9b

MALICIOUS

PDF

52.0 KB Created: 2020-10-14 17:02:50 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-05-23

MD5: 39426d7dab4156da7eeee2577b9105a4 SHA-1: 629ff446c01e668f1eb9698e6bf94e1677e35e10 SHA-256: 847795060322ab9bef1ca28ab0eaf2b8180c51c8eeb7de96db071887e35390ec

154 Risk Score

Malware Insights

MITRE ATT&CK

T1566.001 Spearphishing Attachment T1059.007 JavaScript

The PDF contains embedded links that point to known malicious redirector infrastructure, specifically 'https://gettraff.ru/pify?keyword=cranial+nerves+pdf+download'. The document also features a large number of external PDF links, suggesting a link farm or SEO manipulation tactic. While no scripts were explicitly extracted, the presence of malicious links and the ML classifier's high confidence indicate a strong likelihood of malicious intent, likely for phishing or malware distribution.

Machine Learning

Nyx PDF Classifier malicious score 1.0000

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/pify?keyword=cranial+nerves+pdf+download In PDF document text
- https://cdn-cms.f-static.net/uploads/4365541/normal_5f87004de08f3.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4365580/normal_5f86fe7dee259.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4365562/normal_5f86f8787cb94.pdfIn PDF document text
- https://site-1039759.mozfiles.com/files/1039759/97535460678.pdfIn PDF document text
- https://site-1042181.mozfiles.com/files/1042181/jokul.pdfIn PDF document text
- https://site-1036925.mozfiles.com/files/1036925/xikuligusisive.pdfIn PDF document text
- https://site-1038961.mozfiles.com/files/1038961/69948779142.pdfIn PDF document text
- https://site-1038530.mozfiles.com/files/1038530/70515291811.pdfIn PDF document text
- https://site-1042282.mozfiles.com/files/1042282/21028468354.pdfIn PDF document text
- https://site-1044204.mozfiles.com/files/1044204/43208098942.pdfIn PDF document text
- https://site-1040399.mozfiles.com/files/1040399/kapate.pdfIn PDF document text
- https://mogilifus.weebly.com/uploads/1/3/0/7/130739831/9b53ec72f.pdfIn PDF document text
- https://mogilifus.weebly.com/uploads/1/3/0/7/130739831/8347111.pdfIn PDF document text
- https://jakedekokobara.weebly.com/uploads/1/3/1/3/131381480/83905a54a030772.pdfIn PDF document text
- https://keniwuki.weebly.com/uploads/1/3/1/4/131483234/fibawubaxavuvabu.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/1/0486/2872/7966/files/zimam.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/5529/2321/files/brainpop_graphic_organizer_answers.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0476/5646/8646/files/nikemur.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0480/7622/6724/files/22886449911.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/7804/2275/files/57086779890.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/2971/6374/files/96058199997.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_off0000753c.bin`	pdf-font-stream	PDF embedded font (sfnt) at offset 0x753C	4920 bytes
SHA-256: `51c400705c10462a4b60a22fa830f279bbaf87975bb389e5a79e939fac93a076`
`font_01_sfnt_off0000860f.bin`	pdf-font-stream	PDF embedded font (sfnt) at offset 0x860F	14724 bytes
SHA-256: `55ee4558df4d8ba2449f8ea20eb1fdb2a0fc4e02d61a59affa3a4fa04583db3c`
`font_02_sfnt_off0000b4bd.bin`	pdf-font-stream	PDF embedded font (sfnt) at offset 0xB4BD	4324 bytes
SHA-256: `7f6049e5011acf0e8581793f2bc2bb947aac2929fdb77abc318b2a6155c1ef71`

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